| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 1000, | |
| "global_step": 80000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "grad_norm": 10.401179313659668, | |
| "learning_rate": 9.900000000000002e-06, | |
| "loss": 0.7996, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 1.4217194318771362, | |
| "learning_rate": 1.9900000000000003e-05, | |
| "loss": 0.8501, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 11.115049362182617, | |
| "learning_rate": 2.9900000000000002e-05, | |
| "loss": 0.8403, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 4.1231770515441895, | |
| "learning_rate": 3.99e-05, | |
| "loss": 0.8814, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 3.6332690715789795, | |
| "learning_rate": 4.9800000000000004e-05, | |
| "loss": 0.8949, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 5.6715312004089355, | |
| "learning_rate": 4.9950753768844225e-05, | |
| "loss": 0.841, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 4.035426139831543, | |
| "learning_rate": 4.990050251256282e-05, | |
| "loss": 0.9221, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 3.536616325378418, | |
| "learning_rate": 4.985025125628141e-05, | |
| "loss": 0.8898, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 4.088434219360352, | |
| "learning_rate": 4.9800000000000004e-05, | |
| "loss": 0.97, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 14.10112190246582, | |
| "learning_rate": 4.974974874371859e-05, | |
| "loss": 0.9325, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_loss": 0.9976623058319092, | |
| "eval_runtime": 93.1357, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 13.908395767211914, | |
| "learning_rate": 4.969949748743719e-05, | |
| "loss": 0.9053, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 7.617687702178955, | |
| "learning_rate": 4.9649246231155784e-05, | |
| "loss": 0.8859, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 7.366157054901123, | |
| "learning_rate": 4.959899497487438e-05, | |
| "loss": 0.9627, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 3.9606947898864746, | |
| "learning_rate": 4.9548743718592964e-05, | |
| "loss": 0.8525, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 2.4160988330841064, | |
| "learning_rate": 4.949849246231156e-05, | |
| "loss": 0.9759, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 4.402566909790039, | |
| "learning_rate": 4.944824120603016e-05, | |
| "loss": 0.9102, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 3.5195939540863037, | |
| "learning_rate": 4.9397989949748743e-05, | |
| "loss": 0.9614, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 9.411144256591797, | |
| "learning_rate": 4.934773869346734e-05, | |
| "loss": 1.0199, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 2.964963912963867, | |
| "learning_rate": 4.929748743718593e-05, | |
| "loss": 0.9602, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 14.135363578796387, | |
| "learning_rate": 4.924723618090453e-05, | |
| "loss": 0.9442, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "eval_loss": 1.0027893781661987, | |
| "eval_runtime": 93.2106, | |
| "eval_samples_per_second": 10.728, | |
| "eval_steps_per_second": 2.682, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 1.2493922710418701, | |
| "learning_rate": 4.9196984924623116e-05, | |
| "loss": 0.9231, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 7.772951126098633, | |
| "learning_rate": 4.914673366834171e-05, | |
| "loss": 0.9684, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 3.6931562423706055, | |
| "learning_rate": 4.90964824120603e-05, | |
| "loss": 0.9534, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 2.797088384628296, | |
| "learning_rate": 4.9046231155778896e-05, | |
| "loss": 0.96, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 5.056826591491699, | |
| "learning_rate": 4.899597989949749e-05, | |
| "loss": 0.9278, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 2.841571092605591, | |
| "learning_rate": 4.894572864321608e-05, | |
| "loss": 0.9642, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 5.591983795166016, | |
| "learning_rate": 4.8895477386934676e-05, | |
| "loss": 0.9236, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 4.040654182434082, | |
| "learning_rate": 4.884522613065327e-05, | |
| "loss": 0.891, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 4.5285820960998535, | |
| "learning_rate": 4.879497487437186e-05, | |
| "loss": 0.9275, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 3.6710784435272217, | |
| "learning_rate": 4.8744723618090456e-05, | |
| "loss": 0.9237, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "eval_loss": 1.0115267038345337, | |
| "eval_runtime": 93.1331, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 2.3687329292297363, | |
| "learning_rate": 4.869447236180905e-05, | |
| "loss": 0.9455, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 11.586736679077148, | |
| "learning_rate": 4.864422110552764e-05, | |
| "loss": 0.964, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 5.422958850860596, | |
| "learning_rate": 4.8593969849246235e-05, | |
| "loss": 0.9705, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 2.363290548324585, | |
| "learning_rate": 4.854371859296483e-05, | |
| "loss": 0.9341, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 1.7168620824813843, | |
| "learning_rate": 4.8493467336683415e-05, | |
| "loss": 0.9739, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 2.3149633407592773, | |
| "learning_rate": 4.844321608040201e-05, | |
| "loss": 0.9258, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 2.771425485610962, | |
| "learning_rate": 4.839296482412061e-05, | |
| "loss": 0.9374, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.6544713973999023, | |
| "learning_rate": 4.83427135678392e-05, | |
| "loss": 0.9557, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.7681453227996826, | |
| "learning_rate": 4.829246231155779e-05, | |
| "loss": 0.9842, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 2.4862678050994873, | |
| "learning_rate": 4.824221105527638e-05, | |
| "loss": 0.9888, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "eval_loss": 1.0101147890090942, | |
| "eval_runtime": 93.0664, | |
| "eval_samples_per_second": 10.745, | |
| "eval_steps_per_second": 2.686, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 4.182258129119873, | |
| "learning_rate": 4.819195979899498e-05, | |
| "loss": 0.977, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 4.485065937042236, | |
| "learning_rate": 4.814170854271357e-05, | |
| "loss": 0.9598, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 2.235346555709839, | |
| "learning_rate": 4.809145728643216e-05, | |
| "loss": 0.9888, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 4.2939252853393555, | |
| "learning_rate": 4.8041206030150754e-05, | |
| "loss": 0.9336, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 5.683385372161865, | |
| "learning_rate": 4.7991457286432165e-05, | |
| "loss": 0.9724, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 6.78421688079834, | |
| "learning_rate": 4.794120603015075e-05, | |
| "loss": 1.0393, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 2.5248563289642334, | |
| "learning_rate": 4.789095477386935e-05, | |
| "loss": 0.9658, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 2.3800323009490967, | |
| "learning_rate": 4.7840703517587945e-05, | |
| "loss": 0.959, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 2.4079301357269287, | |
| "learning_rate": 4.779045226130653e-05, | |
| "loss": 0.9631, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 3.746002674102783, | |
| "learning_rate": 4.7740201005025125e-05, | |
| "loss": 0.9662, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_loss": 1.036652684211731, | |
| "eval_runtime": 93.1422, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 2.498887777328491, | |
| "learning_rate": 4.7689949748743725e-05, | |
| "loss": 0.9513, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 3.1052420139312744, | |
| "learning_rate": 4.763969849246232e-05, | |
| "loss": 0.8982, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 3.442906618118286, | |
| "learning_rate": 4.7589447236180904e-05, | |
| "loss": 0.9924, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 4.208202838897705, | |
| "learning_rate": 4.75391959798995e-05, | |
| "loss": 0.9818, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 4.999510288238525, | |
| "learning_rate": 4.74889447236181e-05, | |
| "loss": 0.9401, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 5.245172023773193, | |
| "learning_rate": 4.7438693467336684e-05, | |
| "loss": 0.8937, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 3.1338207721710205, | |
| "learning_rate": 4.738844221105528e-05, | |
| "loss": 1.0115, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 2.9757256507873535, | |
| "learning_rate": 4.733819095477387e-05, | |
| "loss": 0.9858, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 2.5199265480041504, | |
| "learning_rate": 4.7287939698492464e-05, | |
| "loss": 0.8944, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 8.123644828796387, | |
| "learning_rate": 4.723768844221106e-05, | |
| "loss": 0.9412, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_loss": 1.0194703340530396, | |
| "eval_runtime": 93.1579, | |
| "eval_samples_per_second": 10.734, | |
| "eval_steps_per_second": 2.684, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 14.286507606506348, | |
| "learning_rate": 4.718793969849247e-05, | |
| "loss": 0.974, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 3.9008524417877197, | |
| "learning_rate": 4.713768844221106e-05, | |
| "loss": 0.9219, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 4.235304832458496, | |
| "learning_rate": 4.708743718592965e-05, | |
| "loss": 0.991, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 4.351159572601318, | |
| "learning_rate": 4.703718592964824e-05, | |
| "loss": 0.9695, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 3.415191173553467, | |
| "learning_rate": 4.698693467336684e-05, | |
| "loss": 0.935, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 3.367522954940796, | |
| "learning_rate": 4.693668341708543e-05, | |
| "loss": 0.9689, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 3.1978042125701904, | |
| "learning_rate": 4.688643216080402e-05, | |
| "loss": 0.9833, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 2.780592203140259, | |
| "learning_rate": 4.6836180904522614e-05, | |
| "loss": 0.9399, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 7.248663902282715, | |
| "learning_rate": 4.678592964824121e-05, | |
| "loss": 0.9534, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 5.009815692901611, | |
| "learning_rate": 4.67356783919598e-05, | |
| "loss": 0.9137, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "eval_loss": 1.0109317302703857, | |
| "eval_runtime": 93.119, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 3.278932571411133, | |
| "learning_rate": 4.6685427135678394e-05, | |
| "loss": 0.8946, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 2.084470272064209, | |
| "learning_rate": 4.663517587939699e-05, | |
| "loss": 0.9796, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 4.415618896484375, | |
| "learning_rate": 4.658492462311558e-05, | |
| "loss": 0.9679, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 2.9793307781219482, | |
| "learning_rate": 4.6534673366834174e-05, | |
| "loss": 0.9292, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 3.963541030883789, | |
| "learning_rate": 4.648442211055277e-05, | |
| "loss": 0.9598, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 2.6826908588409424, | |
| "learning_rate": 4.643417085427136e-05, | |
| "loss": 0.9775, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 4.453563213348389, | |
| "learning_rate": 4.6383919597989947e-05, | |
| "loss": 0.9371, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 5.058444976806641, | |
| "learning_rate": 4.6333668341708547e-05, | |
| "loss": 0.9613, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 4.122437000274658, | |
| "learning_rate": 4.628341708542714e-05, | |
| "loss": 0.8921, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 5.587231636047363, | |
| "learning_rate": 4.623316582914573e-05, | |
| "loss": 0.9731, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_loss": 1.0011775493621826, | |
| "eval_runtime": 93.123, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.685, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 4.181956768035889, | |
| "learning_rate": 4.618291457286432e-05, | |
| "loss": 0.908, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 9.223557472229004, | |
| "learning_rate": 4.613266331658292e-05, | |
| "loss": 0.9867, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 3.491239547729492, | |
| "learning_rate": 4.608241206030151e-05, | |
| "loss": 0.8887, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 5.799344062805176, | |
| "learning_rate": 4.60321608040201e-05, | |
| "loss": 0.9222, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 3.5601634979248047, | |
| "learning_rate": 4.598190954773869e-05, | |
| "loss": 0.9504, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 8.209439277648926, | |
| "learning_rate": 4.593165829145729e-05, | |
| "loss": 0.9304, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 4.197356700897217, | |
| "learning_rate": 4.5881407035175886e-05, | |
| "loss": 0.9772, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 6.555203914642334, | |
| "learning_rate": 4.583115577889447e-05, | |
| "loss": 0.9359, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 7.102870464324951, | |
| "learning_rate": 4.5780904522613065e-05, | |
| "loss": 0.9311, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 2.195941209793091, | |
| "learning_rate": 4.5731155778894477e-05, | |
| "loss": 0.933, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_loss": 0.9800053834915161, | |
| "eval_runtime": 93.1242, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.685, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 3.8922510147094727, | |
| "learning_rate": 4.568090452261306e-05, | |
| "loss": 0.9445, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 4.203242778778076, | |
| "learning_rate": 4.5630653266331656e-05, | |
| "loss": 0.9522, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 7.515634059906006, | |
| "learning_rate": 4.5580402010050256e-05, | |
| "loss": 0.8782, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 2.365694999694824, | |
| "learning_rate": 4.553015075376885e-05, | |
| "loss": 0.9633, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 4.682378768920898, | |
| "learning_rate": 4.5479899497487436e-05, | |
| "loss": 0.9561, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 3.9565162658691406, | |
| "learning_rate": 4.542964824120603e-05, | |
| "loss": 0.9423, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 7.875938892364502, | |
| "learning_rate": 4.537939698492463e-05, | |
| "loss": 0.9658, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 3.533388376235962, | |
| "learning_rate": 4.5329145728643216e-05, | |
| "loss": 0.9705, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 2.1741228103637695, | |
| "learning_rate": 4.527889447236181e-05, | |
| "loss": 0.9221, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 6.080275535583496, | |
| "learning_rate": 4.52286432160804e-05, | |
| "loss": 0.9519, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_loss": 0.9981206059455872, | |
| "eval_runtime": 93.1465, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 9.127328872680664, | |
| "learning_rate": 4.5178391959799e-05, | |
| "loss": 0.9187, | |
| "step": 10100 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 4.8638386726379395, | |
| "learning_rate": 4.512814070351759e-05, | |
| "loss": 0.9728, | |
| "step": 10200 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 3.1481430530548096, | |
| "learning_rate": 4.507788944723618e-05, | |
| "loss": 0.9145, | |
| "step": 10300 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 6.514681339263916, | |
| "learning_rate": 4.5027638190954775e-05, | |
| "loss": 0.9938, | |
| "step": 10400 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 3.8488306999206543, | |
| "learning_rate": 4.497738693467337e-05, | |
| "loss": 0.9035, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 2.711252450942993, | |
| "learning_rate": 4.492713567839196e-05, | |
| "loss": 0.9622, | |
| "step": 10600 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 6.755681991577148, | |
| "learning_rate": 4.4876884422110555e-05, | |
| "loss": 0.9208, | |
| "step": 10700 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 3.9941232204437256, | |
| "learning_rate": 4.482663316582915e-05, | |
| "loss": 0.9512, | |
| "step": 10800 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 5.439061641693115, | |
| "learning_rate": 4.477638190954774e-05, | |
| "loss": 0.9231, | |
| "step": 10900 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 8.338215827941895, | |
| "learning_rate": 4.4726130653266335e-05, | |
| "loss": 0.9294, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 0.9993205666542053, | |
| "eval_runtime": 93.1743, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 3.963146924972534, | |
| "learning_rate": 4.467587939698493e-05, | |
| "loss": 0.9412, | |
| "step": 11100 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 7.156172752380371, | |
| "learning_rate": 4.462613065326633e-05, | |
| "loss": 0.8706, | |
| "step": 11200 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 6.4324049949646, | |
| "learning_rate": 4.4575879396984925e-05, | |
| "loss": 0.8719, | |
| "step": 11300 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 4.914628982543945, | |
| "learning_rate": 4.452562814070352e-05, | |
| "loss": 0.9558, | |
| "step": 11400 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 3.894350290298462, | |
| "learning_rate": 4.447537688442211e-05, | |
| "loss": 0.8914, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 2.2890913486480713, | |
| "learning_rate": 4.4425125628140705e-05, | |
| "loss": 0.8934, | |
| "step": 11600 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 5.0195631980896, | |
| "learning_rate": 4.43748743718593e-05, | |
| "loss": 0.9633, | |
| "step": 11700 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 3.1142818927764893, | |
| "learning_rate": 4.432462311557789e-05, | |
| "loss": 0.9841, | |
| "step": 11800 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 6.496797561645508, | |
| "learning_rate": 4.4274371859296485e-05, | |
| "loss": 0.9646, | |
| "step": 11900 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 2.038761854171753, | |
| "learning_rate": 4.422412060301508e-05, | |
| "loss": 0.9719, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_loss": 0.9653480648994446, | |
| "eval_runtime": 93.1876, | |
| "eval_samples_per_second": 10.731, | |
| "eval_steps_per_second": 2.683, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 2.2382993698120117, | |
| "learning_rate": 4.417386934673367e-05, | |
| "loss": 0.8572, | |
| "step": 12100 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 3.0564868450164795, | |
| "learning_rate": 4.4123618090452265e-05, | |
| "loss": 0.8978, | |
| "step": 12200 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 3.215782880783081, | |
| "learning_rate": 4.407336683417085e-05, | |
| "loss": 0.9181, | |
| "step": 12300 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 5.327606201171875, | |
| "learning_rate": 4.402311557788945e-05, | |
| "loss": 0.9393, | |
| "step": 12400 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 5.560494422912598, | |
| "learning_rate": 4.3972864321608044e-05, | |
| "loss": 0.935, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 7.394079208374023, | |
| "learning_rate": 4.392261306532664e-05, | |
| "loss": 0.9092, | |
| "step": 12600 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 4.927297592163086, | |
| "learning_rate": 4.3872361809045224e-05, | |
| "loss": 0.9546, | |
| "step": 12700 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 3.5621089935302734, | |
| "learning_rate": 4.3822110552763824e-05, | |
| "loss": 0.9083, | |
| "step": 12800 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 4.207425117492676, | |
| "learning_rate": 4.377185929648242e-05, | |
| "loss": 0.9032, | |
| "step": 12900 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 4.688506603240967, | |
| "learning_rate": 4.3721608040201004e-05, | |
| "loss": 0.9435, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_loss": 0.9503098726272583, | |
| "eval_runtime": 93.1942, | |
| "eval_samples_per_second": 10.73, | |
| "eval_steps_per_second": 2.683, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 6.992246627807617, | |
| "learning_rate": 4.36713567839196e-05, | |
| "loss": 0.9035, | |
| "step": 13100 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 2.7571117877960205, | |
| "learning_rate": 4.36211055276382e-05, | |
| "loss": 0.9447, | |
| "step": 13200 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 8.692018508911133, | |
| "learning_rate": 4.3570854271356784e-05, | |
| "loss": 0.9178, | |
| "step": 13300 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 6.485171318054199, | |
| "learning_rate": 4.352060301507538e-05, | |
| "loss": 0.9569, | |
| "step": 13400 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 6.329054832458496, | |
| "learning_rate": 4.347035175879397e-05, | |
| "loss": 0.9536, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 3.318054437637329, | |
| "learning_rate": 4.342010050251257e-05, | |
| "loss": 0.9361, | |
| "step": 13600 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 2.6547791957855225, | |
| "learning_rate": 4.3369849246231156e-05, | |
| "loss": 0.9388, | |
| "step": 13700 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 3.93754243850708, | |
| "learning_rate": 4.331959798994975e-05, | |
| "loss": 0.9193, | |
| "step": 13800 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 3.3440163135528564, | |
| "learning_rate": 4.326934673366834e-05, | |
| "loss": 0.9142, | |
| "step": 13900 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 3.7675180435180664, | |
| "learning_rate": 4.3219095477386936e-05, | |
| "loss": 0.8883, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "eval_loss": 0.9775914549827576, | |
| "eval_runtime": 93.1814, | |
| "eval_samples_per_second": 10.732, | |
| "eval_steps_per_second": 2.683, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 3.446436643600464, | |
| "learning_rate": 4.316884422110553e-05, | |
| "loss": 0.8074, | |
| "step": 14100 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 7.831523895263672, | |
| "learning_rate": 4.311859296482412e-05, | |
| "loss": 0.9417, | |
| "step": 14200 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 7.415013790130615, | |
| "learning_rate": 4.3068341708542716e-05, | |
| "loss": 0.9201, | |
| "step": 14300 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 4.4936933517456055, | |
| "learning_rate": 4.301809045226131e-05, | |
| "loss": 0.9759, | |
| "step": 14400 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 2.7617504596710205, | |
| "learning_rate": 4.29678391959799e-05, | |
| "loss": 0.9495, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 3.939483404159546, | |
| "learning_rate": 4.2917587939698496e-05, | |
| "loss": 0.9234, | |
| "step": 14600 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 2.7411184310913086, | |
| "learning_rate": 4.286733668341709e-05, | |
| "loss": 0.8905, | |
| "step": 14700 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 3.768512010574341, | |
| "learning_rate": 4.2817085427135675e-05, | |
| "loss": 0.9213, | |
| "step": 14800 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 4.408779621124268, | |
| "learning_rate": 4.2766834170854275e-05, | |
| "loss": 0.9483, | |
| "step": 14900 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 3.7037153244018555, | |
| "learning_rate": 4.271658291457287e-05, | |
| "loss": 0.9335, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_loss": 1.018809199333191, | |
| "eval_runtime": 93.2091, | |
| "eval_samples_per_second": 10.729, | |
| "eval_steps_per_second": 2.682, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 3.3245444297790527, | |
| "learning_rate": 4.266633165829146e-05, | |
| "loss": 0.9258, | |
| "step": 15100 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 5.797372341156006, | |
| "learning_rate": 4.2616582914572866e-05, | |
| "loss": 0.9374, | |
| "step": 15200 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 3.6503055095672607, | |
| "learning_rate": 4.256683417085428e-05, | |
| "loss": 0.9754, | |
| "step": 15300 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 3.030193328857422, | |
| "learning_rate": 4.2516582914572864e-05, | |
| "loss": 0.94, | |
| "step": 15400 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 18.207677841186523, | |
| "learning_rate": 4.246633165829146e-05, | |
| "loss": 1.0033, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 5.090402126312256, | |
| "learning_rate": 4.241608040201005e-05, | |
| "loss": 0.9071, | |
| "step": 15600 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 9.98360538482666, | |
| "learning_rate": 4.236582914572865e-05, | |
| "loss": 0.8533, | |
| "step": 15700 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 2.4563426971435547, | |
| "learning_rate": 4.231557788944724e-05, | |
| "loss": 0.9266, | |
| "step": 15800 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 10.532952308654785, | |
| "learning_rate": 4.226532663316583e-05, | |
| "loss": 0.943, | |
| "step": 15900 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 5.991729259490967, | |
| "learning_rate": 4.221507537688442e-05, | |
| "loss": 0.8991, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "eval_loss": 0.9398714303970337, | |
| "eval_runtime": 93.111, | |
| "eval_samples_per_second": 10.74, | |
| "eval_steps_per_second": 2.685, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 13.598296165466309, | |
| "learning_rate": 4.2164824120603016e-05, | |
| "loss": 0.8603, | |
| "step": 16100 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 2.855147123336792, | |
| "learning_rate": 4.211457286432161e-05, | |
| "loss": 0.9097, | |
| "step": 16200 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 3.4038333892822266, | |
| "learning_rate": 4.20643216080402e-05, | |
| "loss": 0.933, | |
| "step": 16300 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 6.272001266479492, | |
| "learning_rate": 4.2014070351758796e-05, | |
| "loss": 0.9801, | |
| "step": 16400 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 4.57353401184082, | |
| "learning_rate": 4.196381909547739e-05, | |
| "loss": 0.9635, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 3.6893272399902344, | |
| "learning_rate": 4.191356783919598e-05, | |
| "loss": 0.9651, | |
| "step": 16600 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 6.611605167388916, | |
| "learning_rate": 4.1863316582914576e-05, | |
| "loss": 0.907, | |
| "step": 16700 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 4.06003475189209, | |
| "learning_rate": 4.181306532663317e-05, | |
| "loss": 0.872, | |
| "step": 16800 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 3.3336362838745117, | |
| "learning_rate": 4.176281407035176e-05, | |
| "loss": 0.9688, | |
| "step": 16900 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 3.704200267791748, | |
| "learning_rate": 4.1712562814070356e-05, | |
| "loss": 0.8985, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "eval_loss": 0.9714847207069397, | |
| "eval_runtime": 93.2176, | |
| "eval_samples_per_second": 10.728, | |
| "eval_steps_per_second": 2.682, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 3.743953227996826, | |
| "learning_rate": 4.166231155778895e-05, | |
| "loss": 0.8949, | |
| "step": 17100 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 2.003265619277954, | |
| "learning_rate": 4.1612060301507535e-05, | |
| "loss": 0.8789, | |
| "step": 17200 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 3.5944814682006836, | |
| "learning_rate": 4.156180904522613e-05, | |
| "loss": 0.9354, | |
| "step": 17300 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 2.2168691158294678, | |
| "learning_rate": 4.151155778894473e-05, | |
| "loss": 0.9476, | |
| "step": 17400 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 3.7228217124938965, | |
| "learning_rate": 4.146130653266332e-05, | |
| "loss": 0.9489, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 2.9889585971832275, | |
| "learning_rate": 4.141105527638191e-05, | |
| "loss": 0.9163, | |
| "step": 17600 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 3.9288489818573, | |
| "learning_rate": 4.13608040201005e-05, | |
| "loss": 0.9425, | |
| "step": 17700 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 3.2130300998687744, | |
| "learning_rate": 4.13105527638191e-05, | |
| "loss": 0.9328, | |
| "step": 17800 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 1.677257776260376, | |
| "learning_rate": 4.126030150753769e-05, | |
| "loss": 0.9548, | |
| "step": 17900 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 7.897613048553467, | |
| "learning_rate": 4.121005025125628e-05, | |
| "loss": 0.9199, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_loss": 0.9627432227134705, | |
| "eval_runtime": 93.1711, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 3.7042174339294434, | |
| "learning_rate": 4.1159798994974875e-05, | |
| "loss": 0.9209, | |
| "step": 18100 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.224153757095337, | |
| "learning_rate": 4.1110050251256286e-05, | |
| "loss": 0.8761, | |
| "step": 18200 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.5457117557525635, | |
| "learning_rate": 4.105979899497487e-05, | |
| "loss": 0.9373, | |
| "step": 18300 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 3.5420138835906982, | |
| "learning_rate": 4.100954773869347e-05, | |
| "loss": 0.9571, | |
| "step": 18400 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 2.4865946769714355, | |
| "learning_rate": 4.0959296482412065e-05, | |
| "loss": 0.995, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 11.961295127868652, | |
| "learning_rate": 4.090904522613065e-05, | |
| "loss": 0.9302, | |
| "step": 18600 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 4.357271671295166, | |
| "learning_rate": 4.0858793969849245e-05, | |
| "loss": 0.9839, | |
| "step": 18700 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 6.356178283691406, | |
| "learning_rate": 4.0808542713567845e-05, | |
| "loss": 0.9731, | |
| "step": 18800 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 6.007472991943359, | |
| "learning_rate": 4.075829145728644e-05, | |
| "loss": 0.9325, | |
| "step": 18900 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 2.252680540084839, | |
| "learning_rate": 4.0708040201005025e-05, | |
| "loss": 0.9013, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "eval_loss": 0.9862160682678223, | |
| "eval_runtime": 93.127, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.685, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 6.764468669891357, | |
| "learning_rate": 4.065778894472362e-05, | |
| "loss": 0.9728, | |
| "step": 19100 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 4.251089096069336, | |
| "learning_rate": 4.060753768844222e-05, | |
| "loss": 0.9485, | |
| "step": 19200 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 2.6718976497650146, | |
| "learning_rate": 4.0557286432160804e-05, | |
| "loss": 0.9733, | |
| "step": 19300 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 4.1308746337890625, | |
| "learning_rate": 4.05070351758794e-05, | |
| "loss": 0.9029, | |
| "step": 19400 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 2.442051887512207, | |
| "learning_rate": 4.045678391959799e-05, | |
| "loss": 0.9028, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 9.007789611816406, | |
| "learning_rate": 4.0406532663316584e-05, | |
| "loss": 0.9743, | |
| "step": 19600 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 6.044341564178467, | |
| "learning_rate": 4.035628140703518e-05, | |
| "loss": 0.9178, | |
| "step": 19700 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 5.594725608825684, | |
| "learning_rate": 4.030603015075377e-05, | |
| "loss": 0.9361, | |
| "step": 19800 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 5.294704914093018, | |
| "learning_rate": 4.0255778894472364e-05, | |
| "loss": 0.8562, | |
| "step": 19900 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 4.336592674255371, | |
| "learning_rate": 4.020552763819096e-05, | |
| "loss": 0.9627, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_loss": 1.0003739595413208, | |
| "eval_runtime": 93.1458, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 9.015524864196777, | |
| "learning_rate": 4.015527638190955e-05, | |
| "loss": 0.9766, | |
| "step": 20100 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 3.2617218494415283, | |
| "learning_rate": 4.0105527638190955e-05, | |
| "loss": 0.9732, | |
| "step": 20200 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 3.908485174179077, | |
| "learning_rate": 4.005527638190955e-05, | |
| "loss": 0.9201, | |
| "step": 20300 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 1.562523603439331, | |
| "learning_rate": 4.000502512562814e-05, | |
| "loss": 0.9429, | |
| "step": 20400 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 4.0549774169921875, | |
| "learning_rate": 3.9954773869346734e-05, | |
| "loss": 0.9145, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 7.296591758728027, | |
| "learning_rate": 3.990452261306533e-05, | |
| "loss": 0.9687, | |
| "step": 20600 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 3.0619189739227295, | |
| "learning_rate": 3.985427135678392e-05, | |
| "loss": 0.9581, | |
| "step": 20700 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 2.315051794052124, | |
| "learning_rate": 3.9804020100502514e-05, | |
| "loss": 0.9386, | |
| "step": 20800 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 3.446699857711792, | |
| "learning_rate": 3.975376884422111e-05, | |
| "loss": 0.9349, | |
| "step": 20900 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 1.18391752243042, | |
| "learning_rate": 3.97035175879397e-05, | |
| "loss": 0.8872, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_loss": 0.9717727303504944, | |
| "eval_runtime": 93.1746, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 5.245177745819092, | |
| "learning_rate": 3.9653266331658294e-05, | |
| "loss": 0.9061, | |
| "step": 21100 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 2.7087039947509766, | |
| "learning_rate": 3.960301507537689e-05, | |
| "loss": 0.8958, | |
| "step": 21200 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 2.1201984882354736, | |
| "learning_rate": 3.955276381909548e-05, | |
| "loss": 0.939, | |
| "step": 21300 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 2.5783448219299316, | |
| "learning_rate": 3.950251256281407e-05, | |
| "loss": 0.9643, | |
| "step": 21400 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 2.56453800201416, | |
| "learning_rate": 3.945226130653267e-05, | |
| "loss": 0.9249, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 5.370649814605713, | |
| "learning_rate": 3.940201005025126e-05, | |
| "loss": 0.8936, | |
| "step": 21600 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 3.526343822479248, | |
| "learning_rate": 3.935175879396985e-05, | |
| "loss": 0.9637, | |
| "step": 21700 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 4.2002363204956055, | |
| "learning_rate": 3.930150753768844e-05, | |
| "loss": 0.981, | |
| "step": 21800 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 5.0254082679748535, | |
| "learning_rate": 3.925125628140704e-05, | |
| "loss": 0.8711, | |
| "step": 21900 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 3.774163007736206, | |
| "learning_rate": 3.920100502512563e-05, | |
| "loss": 0.989, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "eval_loss": 0.9514731168746948, | |
| "eval_runtime": 93.1755, | |
| "eval_samples_per_second": 10.732, | |
| "eval_steps_per_second": 2.683, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 5.07633638381958, | |
| "learning_rate": 3.915075376884422e-05, | |
| "loss": 0.896, | |
| "step": 22100 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 4.740135192871094, | |
| "learning_rate": 3.910050251256281e-05, | |
| "loss": 0.915, | |
| "step": 22200 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 4.904139041900635, | |
| "learning_rate": 3.905025125628141e-05, | |
| "loss": 0.8865, | |
| "step": 22300 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 2.3555753231048584, | |
| "learning_rate": 3.9000000000000006e-05, | |
| "loss": 0.9291, | |
| "step": 22400 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 12.583273887634277, | |
| "learning_rate": 3.894974874371859e-05, | |
| "loss": 0.8636, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 9.234467506408691, | |
| "learning_rate": 3.8899497487437186e-05, | |
| "loss": 0.8784, | |
| "step": 22600 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 4.7821807861328125, | |
| "learning_rate": 3.884924623115578e-05, | |
| "loss": 0.8985, | |
| "step": 22700 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 14.900897026062012, | |
| "learning_rate": 3.879899497487437e-05, | |
| "loss": 0.9336, | |
| "step": 22800 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 2.347285509109497, | |
| "learning_rate": 3.8748743718592966e-05, | |
| "loss": 0.9099, | |
| "step": 22900 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 4.16949987411499, | |
| "learning_rate": 3.869849246231156e-05, | |
| "loss": 0.8553, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_loss": 1.0030484199523926, | |
| "eval_runtime": 93.1557, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 3.9661343097686768, | |
| "learning_rate": 3.864824120603015e-05, | |
| "loss": 0.9204, | |
| "step": 23100 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 5.575523853302002, | |
| "learning_rate": 3.8597989949748745e-05, | |
| "loss": 0.9099, | |
| "step": 23200 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 5.437506198883057, | |
| "learning_rate": 3.854773869346734e-05, | |
| "loss": 0.8914, | |
| "step": 23300 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 3.891209125518799, | |
| "learning_rate": 3.849748743718593e-05, | |
| "loss": 0.8746, | |
| "step": 23400 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 2.7176661491394043, | |
| "learning_rate": 3.8447236180904525e-05, | |
| "loss": 0.8414, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 10.221911430358887, | |
| "learning_rate": 3.839698492462312e-05, | |
| "loss": 0.8716, | |
| "step": 23600 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 2.3445537090301514, | |
| "learning_rate": 3.834673366834171e-05, | |
| "loss": 0.9224, | |
| "step": 23700 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 8.813838005065918, | |
| "learning_rate": 3.8296482412060305e-05, | |
| "loss": 0.8915, | |
| "step": 23800 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 2.9498250484466553, | |
| "learning_rate": 3.824623115577889e-05, | |
| "loss": 0.9461, | |
| "step": 23900 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 4.244695663452148, | |
| "learning_rate": 3.819597989949749e-05, | |
| "loss": 0.927, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "eval_loss": 0.9381696581840515, | |
| "eval_runtime": 93.1355, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 4.106844425201416, | |
| "learning_rate": 3.8145728643216084e-05, | |
| "loss": 0.885, | |
| "step": 24100 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 2.4798853397369385, | |
| "learning_rate": 3.809547738693468e-05, | |
| "loss": 0.9688, | |
| "step": 24200 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 3.655352830886841, | |
| "learning_rate": 3.8045226130653264e-05, | |
| "loss": 0.9232, | |
| "step": 24300 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 5.7722883224487305, | |
| "learning_rate": 3.7994974874371864e-05, | |
| "loss": 0.9077, | |
| "step": 24400 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 1.5788486003875732, | |
| "learning_rate": 3.794472361809046e-05, | |
| "loss": 0.9266, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 3.382827043533325, | |
| "learning_rate": 3.789497487437186e-05, | |
| "loss": 0.8958, | |
| "step": 24600 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 5.517687797546387, | |
| "learning_rate": 3.7844723618090455e-05, | |
| "loss": 0.8796, | |
| "step": 24700 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 5.224692344665527, | |
| "learning_rate": 3.779447236180905e-05, | |
| "loss": 0.8697, | |
| "step": 24800 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 3.2972185611724854, | |
| "learning_rate": 3.774422110552764e-05, | |
| "loss": 0.8586, | |
| "step": 24900 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 3.59963321685791, | |
| "learning_rate": 3.7694472361809046e-05, | |
| "loss": 0.8565, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "eval_loss": 1.0313160419464111, | |
| "eval_runtime": 93.1391, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 4.486480712890625, | |
| "learning_rate": 3.764422110552764e-05, | |
| "loss": 0.9122, | |
| "step": 25100 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 3.887725830078125, | |
| "learning_rate": 3.759396984924623e-05, | |
| "loss": 0.8762, | |
| "step": 25200 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 3.239841938018799, | |
| "learning_rate": 3.7543718592964825e-05, | |
| "loss": 0.9358, | |
| "step": 25300 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 7.870302200317383, | |
| "learning_rate": 3.749346733668342e-05, | |
| "loss": 0.8771, | |
| "step": 25400 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 5.073429584503174, | |
| "learning_rate": 3.744321608040201e-05, | |
| "loss": 0.8716, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 8.586678504943848, | |
| "learning_rate": 3.7392964824120605e-05, | |
| "loss": 0.9783, | |
| "step": 25600 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 1.4139407873153687, | |
| "learning_rate": 3.73427135678392e-05, | |
| "loss": 0.9423, | |
| "step": 25700 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 4.109837532043457, | |
| "learning_rate": 3.729246231155779e-05, | |
| "loss": 0.8676, | |
| "step": 25800 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 3.691585063934326, | |
| "learning_rate": 3.7242211055276385e-05, | |
| "loss": 0.9379, | |
| "step": 25900 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 1.2495490312576294, | |
| "learning_rate": 3.719195979899497e-05, | |
| "loss": 0.8964, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_loss": 0.9489035606384277, | |
| "eval_runtime": 93.136, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 4.183409690856934, | |
| "learning_rate": 3.714170854271357e-05, | |
| "loss": 0.8376, | |
| "step": 26100 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 6.531569957733154, | |
| "learning_rate": 3.7091457286432165e-05, | |
| "loss": 0.9188, | |
| "step": 26200 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 2.014603853225708, | |
| "learning_rate": 3.704120603015076e-05, | |
| "loss": 0.9251, | |
| "step": 26300 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 3.1563830375671387, | |
| "learning_rate": 3.6990954773869344e-05, | |
| "loss": 0.8992, | |
| "step": 26400 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 6.678219318389893, | |
| "learning_rate": 3.6940703517587944e-05, | |
| "loss": 0.9677, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 4.432798862457275, | |
| "learning_rate": 3.689045226130654e-05, | |
| "loss": 0.9171, | |
| "step": 26600 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 4.275862693786621, | |
| "learning_rate": 3.6840201005025124e-05, | |
| "loss": 0.9154, | |
| "step": 26700 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 3.015531301498413, | |
| "learning_rate": 3.678994974874372e-05, | |
| "loss": 0.8756, | |
| "step": 26800 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 5.022598743438721, | |
| "learning_rate": 3.673969849246232e-05, | |
| "loss": 0.9211, | |
| "step": 26900 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 4.387092113494873, | |
| "learning_rate": 3.6689447236180904e-05, | |
| "loss": 0.8892, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_loss": 0.9665262699127197, | |
| "eval_runtime": 93.1584, | |
| "eval_samples_per_second": 10.734, | |
| "eval_steps_per_second": 2.684, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 1.8250643014907837, | |
| "learning_rate": 3.66391959798995e-05, | |
| "loss": 0.8914, | |
| "step": 27100 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 3.8293349742889404, | |
| "learning_rate": 3.658894472361809e-05, | |
| "loss": 0.9212, | |
| "step": 27200 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 5.134536266326904, | |
| "learning_rate": 3.653869346733669e-05, | |
| "loss": 0.9025, | |
| "step": 27300 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 4.095407485961914, | |
| "learning_rate": 3.648844221105528e-05, | |
| "loss": 0.8727, | |
| "step": 27400 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 6.101755142211914, | |
| "learning_rate": 3.643819095477387e-05, | |
| "loss": 0.8914, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 11.917282104492188, | |
| "learning_rate": 3.638793969849246e-05, | |
| "loss": 0.8897, | |
| "step": 27600 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 4.288369178771973, | |
| "learning_rate": 3.6337688442211056e-05, | |
| "loss": 0.9408, | |
| "step": 27700 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 3.0062568187713623, | |
| "learning_rate": 3.628743718592965e-05, | |
| "loss": 0.9504, | |
| "step": 27800 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 3.4575741291046143, | |
| "learning_rate": 3.623718592964824e-05, | |
| "loss": 0.8899, | |
| "step": 27900 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 3.5996832847595215, | |
| "learning_rate": 3.6186934673366836e-05, | |
| "loss": 0.914, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "eval_loss": 0.939644455909729, | |
| "eval_runtime": 93.1025, | |
| "eval_samples_per_second": 10.741, | |
| "eval_steps_per_second": 2.685, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 5.83299446105957, | |
| "learning_rate": 3.613668341708543e-05, | |
| "loss": 0.9357, | |
| "step": 28100 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 2.9027252197265625, | |
| "learning_rate": 3.608643216080402e-05, | |
| "loss": 0.9397, | |
| "step": 28200 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 2.4559011459350586, | |
| "learning_rate": 3.603668341708543e-05, | |
| "loss": 0.8895, | |
| "step": 28300 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 5.305372714996338, | |
| "learning_rate": 3.598643216080402e-05, | |
| "loss": 0.8654, | |
| "step": 28400 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 12.196166038513184, | |
| "learning_rate": 3.5936180904522614e-05, | |
| "loss": 0.988, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 2.6445765495300293, | |
| "learning_rate": 3.588592964824121e-05, | |
| "loss": 0.9612, | |
| "step": 28600 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 4.8418192863464355, | |
| "learning_rate": 3.58356783919598e-05, | |
| "loss": 0.9476, | |
| "step": 28700 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 3.024900436401367, | |
| "learning_rate": 3.578542713567839e-05, | |
| "loss": 0.8839, | |
| "step": 28800 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 6.7939066886901855, | |
| "learning_rate": 3.5735175879396986e-05, | |
| "loss": 0.854, | |
| "step": 28900 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 8.745389938354492, | |
| "learning_rate": 3.568492462311558e-05, | |
| "loss": 0.8931, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "eval_loss": 0.9555127024650574, | |
| "eval_runtime": 93.1763, | |
| "eval_samples_per_second": 10.732, | |
| "eval_steps_per_second": 2.683, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 3.085552930831909, | |
| "learning_rate": 3.563467336683417e-05, | |
| "loss": 0.9206, | |
| "step": 29100 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 2.5964431762695312, | |
| "learning_rate": 3.5584422110552766e-05, | |
| "loss": 0.8048, | |
| "step": 29200 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 2.532219886779785, | |
| "learning_rate": 3.553417085427136e-05, | |
| "loss": 0.9781, | |
| "step": 29300 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 7.187425136566162, | |
| "learning_rate": 3.548391959798995e-05, | |
| "loss": 0.8587, | |
| "step": 29400 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 3.9171953201293945, | |
| "learning_rate": 3.543366834170854e-05, | |
| "loss": 0.9206, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 8.586997032165527, | |
| "learning_rate": 3.538341708542714e-05, | |
| "loss": 0.9166, | |
| "step": 29600 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 7.860572338104248, | |
| "learning_rate": 3.533316582914573e-05, | |
| "loss": 0.9075, | |
| "step": 29700 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 3.7530722618103027, | |
| "learning_rate": 3.5282914572864326e-05, | |
| "loss": 0.943, | |
| "step": 29800 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 7.102590084075928, | |
| "learning_rate": 3.523266331658291e-05, | |
| "loss": 0.9266, | |
| "step": 29900 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 2.649622917175293, | |
| "learning_rate": 3.518241206030151e-05, | |
| "loss": 0.902, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_loss": 0.9418465495109558, | |
| "eval_runtime": 93.1693, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 4.440699100494385, | |
| "learning_rate": 3.5132160804020105e-05, | |
| "loss": 0.8826, | |
| "step": 30100 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 4.0459303855896, | |
| "learning_rate": 3.508190954773869e-05, | |
| "loss": 0.8657, | |
| "step": 30200 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 8.85013198852539, | |
| "learning_rate": 3.5031658291457285e-05, | |
| "loss": 0.9363, | |
| "step": 30300 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 3.614614725112915, | |
| "learning_rate": 3.4981407035175885e-05, | |
| "loss": 0.8842, | |
| "step": 30400 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 6.1297287940979, | |
| "learning_rate": 3.493115577889448e-05, | |
| "loss": 0.8995, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 2.9940993785858154, | |
| "learning_rate": 3.4880904522613065e-05, | |
| "loss": 0.8225, | |
| "step": 30600 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 5.4286675453186035, | |
| "learning_rate": 3.483065326633166e-05, | |
| "loss": 0.888, | |
| "step": 30700 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 5.572968482971191, | |
| "learning_rate": 3.478040201005025e-05, | |
| "loss": 0.9427, | |
| "step": 30800 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 2.559330701828003, | |
| "learning_rate": 3.4730150753768845e-05, | |
| "loss": 0.94, | |
| "step": 30900 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 3.6347320079803467, | |
| "learning_rate": 3.468040201005025e-05, | |
| "loss": 0.9599, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "eval_loss": 0.9510870575904846, | |
| "eval_runtime": 93.2143, | |
| "eval_samples_per_second": 10.728, | |
| "eval_steps_per_second": 2.682, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 2.794281005859375, | |
| "learning_rate": 3.463015075376885e-05, | |
| "loss": 0.8893, | |
| "step": 31100 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 5.214545726776123, | |
| "learning_rate": 3.457989949748744e-05, | |
| "loss": 0.8749, | |
| "step": 31200 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 2.6847405433654785, | |
| "learning_rate": 3.452964824120603e-05, | |
| "loss": 0.8761, | |
| "step": 31300 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 4.318289756774902, | |
| "learning_rate": 3.447939698492462e-05, | |
| "loss": 0.8749, | |
| "step": 31400 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 6.353730201721191, | |
| "learning_rate": 3.442914572864322e-05, | |
| "loss": 0.8365, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 7.188552379608154, | |
| "learning_rate": 3.437889447236181e-05, | |
| "loss": 0.875, | |
| "step": 31600 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 4.78775691986084, | |
| "learning_rate": 3.43286432160804e-05, | |
| "loss": 0.8961, | |
| "step": 31700 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 4.9755120277404785, | |
| "learning_rate": 3.4278391959798995e-05, | |
| "loss": 0.8823, | |
| "step": 31800 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 5.056182861328125, | |
| "learning_rate": 3.4228140703517595e-05, | |
| "loss": 0.9061, | |
| "step": 31900 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 4.965173721313477, | |
| "learning_rate": 3.417788944723618e-05, | |
| "loss": 0.925, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 0.9364937543869019, | |
| "eval_runtime": 93.1499, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 4.997767925262451, | |
| "learning_rate": 3.4127638190954775e-05, | |
| "loss": 0.8554, | |
| "step": 32100 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 6.935024261474609, | |
| "learning_rate": 3.407738693467337e-05, | |
| "loss": 0.8517, | |
| "step": 32200 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 3.6432433128356934, | |
| "learning_rate": 3.402713567839196e-05, | |
| "loss": 0.8663, | |
| "step": 32300 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 5.752647876739502, | |
| "learning_rate": 3.3976884422110554e-05, | |
| "loss": 0.9028, | |
| "step": 32400 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 2.6224024295806885, | |
| "learning_rate": 3.392663316582915e-05, | |
| "loss": 0.9201, | |
| "step": 32500 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 3.743650436401367, | |
| "learning_rate": 3.387638190954774e-05, | |
| "loss": 0.9333, | |
| "step": 32600 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 3.6796152591705322, | |
| "learning_rate": 3.3826130653266334e-05, | |
| "loss": 0.8645, | |
| "step": 32700 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 3.3265674114227295, | |
| "learning_rate": 3.377587939698493e-05, | |
| "loss": 0.935, | |
| "step": 32800 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 5.371291637420654, | |
| "learning_rate": 3.372562814070352e-05, | |
| "loss": 0.9088, | |
| "step": 32900 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 3.846700668334961, | |
| "learning_rate": 3.3675376884422114e-05, | |
| "loss": 0.7866, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "eval_loss": 0.965214729309082, | |
| "eval_runtime": 93.2035, | |
| "eval_samples_per_second": 10.729, | |
| "eval_steps_per_second": 2.682, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 5.847678184509277, | |
| "learning_rate": 3.362512562814071e-05, | |
| "loss": 0.8773, | |
| "step": 33100 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 4.96260929107666, | |
| "learning_rate": 3.357537688442211e-05, | |
| "loss": 0.8919, | |
| "step": 33200 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 2.979278087615967, | |
| "learning_rate": 3.3525125628140705e-05, | |
| "loss": 0.913, | |
| "step": 33300 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 3.861112356185913, | |
| "learning_rate": 3.34748743718593e-05, | |
| "loss": 0.8088, | |
| "step": 33400 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 3.394242763519287, | |
| "learning_rate": 3.342462311557789e-05, | |
| "loss": 0.9261, | |
| "step": 33500 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 2.7038347721099854, | |
| "learning_rate": 3.3374371859296484e-05, | |
| "loss": 0.9047, | |
| "step": 33600 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 4.880646228790283, | |
| "learning_rate": 3.332412060301508e-05, | |
| "loss": 0.8903, | |
| "step": 33700 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 2.0390119552612305, | |
| "learning_rate": 3.327386934673367e-05, | |
| "loss": 0.8745, | |
| "step": 33800 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 2.2257132530212402, | |
| "learning_rate": 3.3223618090452264e-05, | |
| "loss": 0.9408, | |
| "step": 33900 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 4.378706455230713, | |
| "learning_rate": 3.317336683417086e-05, | |
| "loss": 0.8874, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "eval_loss": 0.9394493699073792, | |
| "eval_runtime": 93.1353, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 5.825510025024414, | |
| "learning_rate": 3.3123115577889444e-05, | |
| "loss": 0.8532, | |
| "step": 34100 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 4.304105281829834, | |
| "learning_rate": 3.3072864321608044e-05, | |
| "loss": 0.8466, | |
| "step": 34200 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 5.195026874542236, | |
| "learning_rate": 3.302261306532664e-05, | |
| "loss": 0.8506, | |
| "step": 34300 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 7.148824214935303, | |
| "learning_rate": 3.297236180904523e-05, | |
| "loss": 0.8473, | |
| "step": 34400 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 4.036725997924805, | |
| "learning_rate": 3.292211055276382e-05, | |
| "loss": 0.8491, | |
| "step": 34500 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 5.674220561981201, | |
| "learning_rate": 3.287185929648242e-05, | |
| "loss": 0.9206, | |
| "step": 34600 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 1.7672762870788574, | |
| "learning_rate": 3.282160804020101e-05, | |
| "loss": 0.8972, | |
| "step": 34700 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 5.410703182220459, | |
| "learning_rate": 3.2771356783919596e-05, | |
| "loss": 0.8691, | |
| "step": 34800 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 0.4104035198688507, | |
| "learning_rate": 3.272110552763819e-05, | |
| "loss": 0.8544, | |
| "step": 34900 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 7.403091907501221, | |
| "learning_rate": 3.267085427135679e-05, | |
| "loss": 0.8776, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_loss": 0.956791877746582, | |
| "eval_runtime": 93.1885, | |
| "eval_samples_per_second": 10.731, | |
| "eval_steps_per_second": 2.683, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 3.543870449066162, | |
| "learning_rate": 3.2620603015075376e-05, | |
| "loss": 0.8759, | |
| "step": 35100 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 7.124320030212402, | |
| "learning_rate": 3.257035175879397e-05, | |
| "loss": 0.8996, | |
| "step": 35200 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 2.345332384109497, | |
| "learning_rate": 3.252010050251256e-05, | |
| "loss": 0.8434, | |
| "step": 35300 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 4.802892208099365, | |
| "learning_rate": 3.2470351758793974e-05, | |
| "loss": 0.8326, | |
| "step": 35400 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 3.3908345699310303, | |
| "learning_rate": 3.242010050251256e-05, | |
| "loss": 0.9087, | |
| "step": 35500 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 8.180322647094727, | |
| "learning_rate": 3.236984924623116e-05, | |
| "loss": 0.8353, | |
| "step": 35600 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 5.232153415679932, | |
| "learning_rate": 3.2319597989949753e-05, | |
| "loss": 0.8961, | |
| "step": 35700 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 5.016308307647705, | |
| "learning_rate": 3.226934673366834e-05, | |
| "loss": 0.8372, | |
| "step": 35800 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 10.003373146057129, | |
| "learning_rate": 3.221909547738693e-05, | |
| "loss": 0.904, | |
| "step": 35900 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 8.255809783935547, | |
| "learning_rate": 3.216884422110553e-05, | |
| "loss": 0.8432, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_loss": 0.9308714866638184, | |
| "eval_runtime": 93.1505, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 4.078076362609863, | |
| "learning_rate": 3.2118592964824126e-05, | |
| "loss": 0.8924, | |
| "step": 36100 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 3.7647814750671387, | |
| "learning_rate": 3.206834170854271e-05, | |
| "loss": 0.835, | |
| "step": 36200 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 5.127739429473877, | |
| "learning_rate": 3.2018090452261306e-05, | |
| "loss": 0.8393, | |
| "step": 36300 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 4.961634159088135, | |
| "learning_rate": 3.19678391959799e-05, | |
| "loss": 0.8592, | |
| "step": 36400 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 8.022249221801758, | |
| "learning_rate": 3.191758793969849e-05, | |
| "loss": 0.8723, | |
| "step": 36500 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 4.613710403442383, | |
| "learning_rate": 3.1867336683417086e-05, | |
| "loss": 0.9061, | |
| "step": 36600 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 5.985745429992676, | |
| "learning_rate": 3.181708542713568e-05, | |
| "loss": 0.9198, | |
| "step": 36700 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 4.569676876068115, | |
| "learning_rate": 3.176683417085427e-05, | |
| "loss": 0.8561, | |
| "step": 36800 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 5.985031604766846, | |
| "learning_rate": 3.1716582914572866e-05, | |
| "loss": 0.8382, | |
| "step": 36900 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 3.2333121299743652, | |
| "learning_rate": 3.166633165829146e-05, | |
| "loss": 0.911, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "eval_loss": 0.8933776617050171, | |
| "eval_runtime": 93.2112, | |
| "eval_samples_per_second": 10.728, | |
| "eval_steps_per_second": 2.682, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 2.7566323280334473, | |
| "learning_rate": 3.161608040201005e-05, | |
| "loss": 0.8732, | |
| "step": 37100 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 3.0768489837646484, | |
| "learning_rate": 3.1565829145728645e-05, | |
| "loss": 0.9278, | |
| "step": 37200 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 2.595099925994873, | |
| "learning_rate": 3.151557788944724e-05, | |
| "loss": 0.9435, | |
| "step": 37300 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 3.799212694168091, | |
| "learning_rate": 3.146532663316583e-05, | |
| "loss": 0.834, | |
| "step": 37400 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 2.8810317516326904, | |
| "learning_rate": 3.1415075376884425e-05, | |
| "loss": 0.8501, | |
| "step": 37500 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 3.931706428527832, | |
| "learning_rate": 3.136482412060301e-05, | |
| "loss": 0.8778, | |
| "step": 37600 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 2.4938392639160156, | |
| "learning_rate": 3.131457286432161e-05, | |
| "loss": 0.887, | |
| "step": 37700 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 5.07243013381958, | |
| "learning_rate": 3.1264824120603016e-05, | |
| "loss": 0.8819, | |
| "step": 37800 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 3.65317440032959, | |
| "learning_rate": 3.121457286432161e-05, | |
| "loss": 0.9086, | |
| "step": 37900 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 4.633053779602051, | |
| "learning_rate": 3.11643216080402e-05, | |
| "loss": 0.8617, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_loss": 0.9430031180381775, | |
| "eval_runtime": 93.1171, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 5.8754377365112305, | |
| "learning_rate": 3.1114070351758796e-05, | |
| "loss": 0.8751, | |
| "step": 38100 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 1.0654345750808716, | |
| "learning_rate": 3.106381909547739e-05, | |
| "loss": 0.9182, | |
| "step": 38200 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 4.2580766677856445, | |
| "learning_rate": 3.101356783919598e-05, | |
| "loss": 0.9449, | |
| "step": 38300 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 2.0152392387390137, | |
| "learning_rate": 3.0963316582914575e-05, | |
| "loss": 0.8728, | |
| "step": 38400 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 3.4203391075134277, | |
| "learning_rate": 3.091306532663317e-05, | |
| "loss": 0.8576, | |
| "step": 38500 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 7.677492141723633, | |
| "learning_rate": 3.086281407035176e-05, | |
| "loss": 0.8328, | |
| "step": 38600 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 6.361073017120361, | |
| "learning_rate": 3.0812562814070355e-05, | |
| "loss": 0.8738, | |
| "step": 38700 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 5.15574312210083, | |
| "learning_rate": 3.076231155778895e-05, | |
| "loss": 0.8552, | |
| "step": 38800 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 5.873382568359375, | |
| "learning_rate": 3.071206030150754e-05, | |
| "loss": 0.8545, | |
| "step": 38900 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 7.3346757888793945, | |
| "learning_rate": 3.066180904522613e-05, | |
| "loss": 0.8673, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_loss": 0.9260377883911133, | |
| "eval_runtime": 93.1125, | |
| "eval_samples_per_second": 10.74, | |
| "eval_steps_per_second": 2.685, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 2.6923649311065674, | |
| "learning_rate": 3.061155778894472e-05, | |
| "loss": 0.8591, | |
| "step": 39100 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 2.852013349533081, | |
| "learning_rate": 3.056130653266332e-05, | |
| "loss": 0.8451, | |
| "step": 39200 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 4.325497627258301, | |
| "learning_rate": 3.051105527638191e-05, | |
| "loss": 0.8447, | |
| "step": 39300 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 2.5726442337036133, | |
| "learning_rate": 3.0460804020100504e-05, | |
| "loss": 0.8634, | |
| "step": 39400 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 4.642368793487549, | |
| "learning_rate": 3.0410552763819094e-05, | |
| "loss": 0.8341, | |
| "step": 39500 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 9.209900856018066, | |
| "learning_rate": 3.036030150753769e-05, | |
| "loss": 0.8999, | |
| "step": 39600 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 5.0136399269104, | |
| "learning_rate": 3.0310050251256284e-05, | |
| "loss": 0.845, | |
| "step": 39700 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 1.9574824571609497, | |
| "learning_rate": 3.0259798994974874e-05, | |
| "loss": 0.8618, | |
| "step": 39800 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.94467031955719, | |
| "learning_rate": 3.0209547738693467e-05, | |
| "loss": 0.9011, | |
| "step": 39900 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 4.029626369476318, | |
| "learning_rate": 3.0159296482412064e-05, | |
| "loss": 0.8125, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 0.9220036864280701, | |
| "eval_runtime": 93.1186, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 7.923732280731201, | |
| "learning_rate": 3.0109045226130657e-05, | |
| "loss": 0.8802, | |
| "step": 40100 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 3.5818631649017334, | |
| "learning_rate": 3.0058793969849247e-05, | |
| "loss": 0.8745, | |
| "step": 40200 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 4.282202243804932, | |
| "learning_rate": 3.000854271356784e-05, | |
| "loss": 0.8291, | |
| "step": 40300 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 5.023198127746582, | |
| "learning_rate": 2.9958291457286437e-05, | |
| "loss": 0.8332, | |
| "step": 40400 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 2.645123243331909, | |
| "learning_rate": 2.9908040201005027e-05, | |
| "loss": 0.825, | |
| "step": 40500 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 5.194004535675049, | |
| "learning_rate": 2.985778894472362e-05, | |
| "loss": 0.8645, | |
| "step": 40600 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 2.7656760215759277, | |
| "learning_rate": 2.980753768844221e-05, | |
| "loss": 0.8304, | |
| "step": 40700 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 4.818857192993164, | |
| "learning_rate": 2.975728643216081e-05, | |
| "loss": 0.8389, | |
| "step": 40800 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 7.637053966522217, | |
| "learning_rate": 2.97070351758794e-05, | |
| "loss": 0.8352, | |
| "step": 40900 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "grad_norm": 7.042177200317383, | |
| "learning_rate": 2.9656783919597993e-05, | |
| "loss": 0.8479, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_loss": 0.9259112477302551, | |
| "eval_runtime": 93.1176, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 3.9861555099487305, | |
| "learning_rate": 2.9606532663316583e-05, | |
| "loss": 0.8386, | |
| "step": 41100 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 4.692278861999512, | |
| "learning_rate": 2.9556281407035176e-05, | |
| "loss": 0.8527, | |
| "step": 41200 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 4.120222091674805, | |
| "learning_rate": 2.9506030150753772e-05, | |
| "loss": 0.8236, | |
| "step": 41300 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "grad_norm": 5.731037139892578, | |
| "learning_rate": 2.9455778894472362e-05, | |
| "loss": 0.8105, | |
| "step": 41400 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 4.9300947189331055, | |
| "learning_rate": 2.9405527638190956e-05, | |
| "loss": 0.8306, | |
| "step": 41500 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 2.210872173309326, | |
| "learning_rate": 2.9355276381909545e-05, | |
| "loss": 0.8606, | |
| "step": 41600 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 7.957526683807373, | |
| "learning_rate": 2.9305025125628145e-05, | |
| "loss": 0.812, | |
| "step": 41700 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 3.215770959854126, | |
| "learning_rate": 2.9255276381909546e-05, | |
| "loss": 0.8445, | |
| "step": 41800 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 5.36251163482666, | |
| "learning_rate": 2.9205025125628143e-05, | |
| "loss": 0.776, | |
| "step": 41900 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 3.0531303882598877, | |
| "learning_rate": 2.9154773869346736e-05, | |
| "loss": 0.8524, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "eval_loss": 0.9591408967971802, | |
| "eval_runtime": 93.1092, | |
| "eval_samples_per_second": 10.74, | |
| "eval_steps_per_second": 2.685, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 5.086330413818359, | |
| "learning_rate": 2.9104522613065326e-05, | |
| "loss": 0.8047, | |
| "step": 42100 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 3.808764934539795, | |
| "learning_rate": 2.905427135678392e-05, | |
| "loss": 0.8172, | |
| "step": 42200 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 3.6660187244415283, | |
| "learning_rate": 2.9004020100502516e-05, | |
| "loss": 0.8388, | |
| "step": 42300 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 2.2802734375, | |
| "learning_rate": 2.8954271356783917e-05, | |
| "loss": 0.8623, | |
| "step": 42400 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 5.802855491638184, | |
| "learning_rate": 2.8904020100502517e-05, | |
| "loss": 0.8148, | |
| "step": 42500 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "grad_norm": 3.55525541305542, | |
| "learning_rate": 2.8853768844221107e-05, | |
| "loss": 0.7829, | |
| "step": 42600 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 6.823301315307617, | |
| "learning_rate": 2.88035175879397e-05, | |
| "loss": 0.8241, | |
| "step": 42700 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 6.987720489501953, | |
| "learning_rate": 2.875326633165829e-05, | |
| "loss": 0.822, | |
| "step": 42800 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 7.806210517883301, | |
| "learning_rate": 2.8703015075376886e-05, | |
| "loss": 0.8335, | |
| "step": 42900 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 4.272769927978516, | |
| "learning_rate": 2.865276381909548e-05, | |
| "loss": 0.8329, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_loss": 0.9682011604309082, | |
| "eval_runtime": 93.0968, | |
| "eval_samples_per_second": 10.742, | |
| "eval_steps_per_second": 2.685, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 4.718047618865967, | |
| "learning_rate": 2.860251256281407e-05, | |
| "loss": 0.8526, | |
| "step": 43100 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 4.184821128845215, | |
| "learning_rate": 2.8552261306532663e-05, | |
| "loss": 0.797, | |
| "step": 43200 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 4.138742923736572, | |
| "learning_rate": 2.850201005025126e-05, | |
| "loss": 0.9019, | |
| "step": 43300 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "grad_norm": 4.0768938064575195, | |
| "learning_rate": 2.8451758793969853e-05, | |
| "loss": 0.8015, | |
| "step": 43400 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 5.367864608764648, | |
| "learning_rate": 2.8401507537688443e-05, | |
| "loss": 0.8598, | |
| "step": 43500 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 3.9556725025177, | |
| "learning_rate": 2.8351256281407036e-05, | |
| "loss": 0.8377, | |
| "step": 43600 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 3.8033978939056396, | |
| "learning_rate": 2.8301005025125632e-05, | |
| "loss": 0.8177, | |
| "step": 43700 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "grad_norm": 5.000590801239014, | |
| "learning_rate": 2.8250753768844222e-05, | |
| "loss": 0.8052, | |
| "step": 43800 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 4.309756755828857, | |
| "learning_rate": 2.8200502512562816e-05, | |
| "loss": 0.8253, | |
| "step": 43900 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 5.882336616516113, | |
| "learning_rate": 2.8150251256281405e-05, | |
| "loss": 0.9011, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_loss": 0.9591376185417175, | |
| "eval_runtime": 93.0826, | |
| "eval_samples_per_second": 10.743, | |
| "eval_steps_per_second": 2.686, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 3.259488821029663, | |
| "learning_rate": 2.8100000000000005e-05, | |
| "loss": 0.8566, | |
| "step": 44100 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 5.610021591186523, | |
| "learning_rate": 2.8049748743718595e-05, | |
| "loss": 0.7963, | |
| "step": 44200 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 1.6782532930374146, | |
| "learning_rate": 2.799949748743719e-05, | |
| "loss": 0.8566, | |
| "step": 44300 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 7.192352294921875, | |
| "learning_rate": 2.794924623115578e-05, | |
| "loss": 0.8228, | |
| "step": 44400 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 3.9157118797302246, | |
| "learning_rate": 2.789899497487437e-05, | |
| "loss": 0.8564, | |
| "step": 44500 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "grad_norm": 9.507820129394531, | |
| "learning_rate": 2.7848743718592968e-05, | |
| "loss": 0.8324, | |
| "step": 44600 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 4.202729225158691, | |
| "learning_rate": 2.7798492462311558e-05, | |
| "loss": 0.862, | |
| "step": 44700 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": NaN, | |
| "learning_rate": 2.774874371859297e-05, | |
| "loss": 0.7983, | |
| "step": 44800 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 6.222537517547607, | |
| "learning_rate": 2.769849246231156e-05, | |
| "loss": 0.8106, | |
| "step": 44900 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "grad_norm": 6.28545618057251, | |
| "learning_rate": 2.7648241206030152e-05, | |
| "loss": 0.8323, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "eval_loss": 0.934741735458374, | |
| "eval_runtime": 93.086, | |
| "eval_samples_per_second": 10.743, | |
| "eval_steps_per_second": 2.686, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 3.990586757659912, | |
| "learning_rate": 2.7597989949748742e-05, | |
| "loss": 0.9218, | |
| "step": 45100 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 2.8158135414123535, | |
| "learning_rate": 2.754773869346734e-05, | |
| "loss": 0.8602, | |
| "step": 45200 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 6.327960014343262, | |
| "learning_rate": 2.7497487437185932e-05, | |
| "loss": 0.8272, | |
| "step": 45300 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 3.685887336730957, | |
| "learning_rate": 2.7447236180904522e-05, | |
| "loss": 0.8303, | |
| "step": 45400 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 2.856107234954834, | |
| "learning_rate": 2.7396984924623115e-05, | |
| "loss": 0.795, | |
| "step": 45500 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 2.6869564056396484, | |
| "learning_rate": 2.7346733668341712e-05, | |
| "loss": 0.8204, | |
| "step": 45600 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "grad_norm": 3.407679557800293, | |
| "learning_rate": 2.7296482412060305e-05, | |
| "loss": 0.8228, | |
| "step": 45700 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 3.7909011840820312, | |
| "learning_rate": 2.7246231155778895e-05, | |
| "loss": 0.8445, | |
| "step": 45800 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 3.4164321422576904, | |
| "learning_rate": 2.7195979899497488e-05, | |
| "loss": 0.78, | |
| "step": 45900 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 6.0484232902526855, | |
| "learning_rate": 2.7145728643216085e-05, | |
| "loss": 0.8355, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "eval_loss": 0.92562335729599, | |
| "eval_runtime": 93.1146, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 3.4825520515441895, | |
| "learning_rate": 2.7095477386934675e-05, | |
| "loss": 0.8323, | |
| "step": 46100 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 3.930040121078491, | |
| "learning_rate": 2.7045226130653268e-05, | |
| "loss": 0.8139, | |
| "step": 46200 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 3.592379331588745, | |
| "learning_rate": 2.6994974874371858e-05, | |
| "loss": 0.8474, | |
| "step": 46300 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 5.713965892791748, | |
| "learning_rate": 2.6944723618090458e-05, | |
| "loss": 0.8282, | |
| "step": 46400 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 5.45329475402832, | |
| "learning_rate": 2.6894472361809048e-05, | |
| "loss": 0.8045, | |
| "step": 46500 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 4.350860118865967, | |
| "learning_rate": 2.684422110552764e-05, | |
| "loss": 0.8042, | |
| "step": 46600 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 3.444300413131714, | |
| "learning_rate": 2.679396984924623e-05, | |
| "loss": 0.7957, | |
| "step": 46700 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 4.588834285736084, | |
| "learning_rate": 2.6743718592964824e-05, | |
| "loss": 0.8334, | |
| "step": 46800 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "grad_norm": 4.566316604614258, | |
| "learning_rate": 2.669346733668342e-05, | |
| "loss": 0.8518, | |
| "step": 46900 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 6.886305332183838, | |
| "learning_rate": 2.664321608040201e-05, | |
| "loss": 0.824, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_loss": 0.922966718673706, | |
| "eval_runtime": 93.1638, | |
| "eval_samples_per_second": 10.734, | |
| "eval_steps_per_second": 2.683, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 6.220484256744385, | |
| "learning_rate": 2.6592964824120604e-05, | |
| "loss": 0.8137, | |
| "step": 47100 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 3.9158473014831543, | |
| "learning_rate": 2.6542713567839193e-05, | |
| "loss": 0.7684, | |
| "step": 47200 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "grad_norm": 9.41419506072998, | |
| "learning_rate": 2.6492462311557793e-05, | |
| "loss": 0.8447, | |
| "step": 47300 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 4.423808574676514, | |
| "learning_rate": 2.6442211055276383e-05, | |
| "loss": 0.7795, | |
| "step": 47400 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 5.699799537658691, | |
| "learning_rate": 2.6391959798994977e-05, | |
| "loss": 0.8444, | |
| "step": 47500 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 8.215849876403809, | |
| "learning_rate": 2.6341708542713566e-05, | |
| "loss": 0.8164, | |
| "step": 47600 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "grad_norm": 6.393054485321045, | |
| "learning_rate": 2.6291457286432163e-05, | |
| "loss": 0.8563, | |
| "step": 47700 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 5.494711875915527, | |
| "learning_rate": 2.6241206030150756e-05, | |
| "loss": 0.7894, | |
| "step": 47800 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 7.110975742340088, | |
| "learning_rate": 2.6190954773869346e-05, | |
| "loss": 0.8169, | |
| "step": 47900 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 6.756740093231201, | |
| "learning_rate": 2.614070351758794e-05, | |
| "loss": 0.8063, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "eval_loss": 0.959385871887207, | |
| "eval_runtime": 93.1749, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 4.6598615646362305, | |
| "learning_rate": 2.6090452261306536e-05, | |
| "loss": 0.7914, | |
| "step": 48100 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 3.9379007816314697, | |
| "learning_rate": 2.604020100502513e-05, | |
| "loss": 0.8423, | |
| "step": 48200 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 10.248889923095703, | |
| "learning_rate": 2.598994974874372e-05, | |
| "loss": 0.81, | |
| "step": 48300 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 4.938050270080566, | |
| "learning_rate": 2.5939698492462312e-05, | |
| "loss": 0.8624, | |
| "step": 48400 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "grad_norm": 7.004148960113525, | |
| "learning_rate": 2.588944723618091e-05, | |
| "loss": 0.74, | |
| "step": 48500 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 1.0052399635314941, | |
| "learning_rate": 2.58391959798995e-05, | |
| "loss": 0.7998, | |
| "step": 48600 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 5.938643455505371, | |
| "learning_rate": 2.5788944723618092e-05, | |
| "loss": 0.7688, | |
| "step": 48700 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 4.684143543243408, | |
| "learning_rate": 2.5738693467336682e-05, | |
| "loss": 0.83, | |
| "step": 48800 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "grad_norm": 4.721595764160156, | |
| "learning_rate": 2.5688442211055282e-05, | |
| "loss": 0.8519, | |
| "step": 48900 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 9.128904342651367, | |
| "learning_rate": 2.5638190954773872e-05, | |
| "loss": 0.832, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "eval_loss": 0.9091083407402039, | |
| "eval_runtime": 93.0598, | |
| "eval_samples_per_second": 10.746, | |
| "eval_steps_per_second": 2.686, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 4.281224727630615, | |
| "learning_rate": 2.558844221105528e-05, | |
| "loss": 0.8454, | |
| "step": 49100 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 4.15258264541626, | |
| "learning_rate": 2.5538190954773873e-05, | |
| "loss": 0.8534, | |
| "step": 49200 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 2.726292610168457, | |
| "learning_rate": 2.5487939698492463e-05, | |
| "loss": 0.8331, | |
| "step": 49300 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 2.922222852706909, | |
| "learning_rate": 2.543819095477387e-05, | |
| "loss": 0.7906, | |
| "step": 49400 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 6.58457088470459, | |
| "learning_rate": 2.5387939698492464e-05, | |
| "loss": 0.7655, | |
| "step": 49500 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 4.855134963989258, | |
| "learning_rate": 2.5337688442211053e-05, | |
| "loss": 0.8446, | |
| "step": 49600 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "grad_norm": 5.20013427734375, | |
| "learning_rate": 2.5287437185929653e-05, | |
| "loss": 0.8014, | |
| "step": 49700 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 3.2615082263946533, | |
| "learning_rate": 2.5237185929648243e-05, | |
| "loss": 0.8108, | |
| "step": 49800 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 4.964284896850586, | |
| "learning_rate": 2.5186934673366837e-05, | |
| "loss": 0.785, | |
| "step": 49900 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 4.1435933113098145, | |
| "learning_rate": 2.5136683417085426e-05, | |
| "loss": 0.7955, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_loss": 0.9666250944137573, | |
| "eval_runtime": 93.1566, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 6.780755043029785, | |
| "learning_rate": 2.508643216080402e-05, | |
| "loss": 0.8035, | |
| "step": 50100 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 3.228900909423828, | |
| "learning_rate": 2.5036180904522616e-05, | |
| "loss": 0.8456, | |
| "step": 50200 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 2.7805113792419434, | |
| "learning_rate": 2.4985929648241206e-05, | |
| "loss": 0.8323, | |
| "step": 50300 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 6.089780330657959, | |
| "learning_rate": 2.49356783919598e-05, | |
| "loss": 0.8601, | |
| "step": 50400 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 2.9426724910736084, | |
| "learning_rate": 2.4885427135678393e-05, | |
| "loss": 0.8239, | |
| "step": 50500 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 6.784173011779785, | |
| "learning_rate": 2.4835175879396986e-05, | |
| "loss": 0.8408, | |
| "step": 50600 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 4.918420791625977, | |
| "learning_rate": 2.478492462311558e-05, | |
| "loss": 0.8547, | |
| "step": 50700 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 5.326765537261963, | |
| "learning_rate": 2.4734673366834172e-05, | |
| "loss": 0.8169, | |
| "step": 50800 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 7.219261646270752, | |
| "learning_rate": 2.4684422110552766e-05, | |
| "loss": 0.7847, | |
| "step": 50900 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "grad_norm": 8.008410453796387, | |
| "learning_rate": 2.463417085427136e-05, | |
| "loss": 0.8481, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "eval_loss": 0.907688319683075, | |
| "eval_runtime": 93.1288, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.684, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 6.92462682723999, | |
| "learning_rate": 2.4583919597989952e-05, | |
| "loss": 0.8221, | |
| "step": 51100 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 16.007116317749023, | |
| "learning_rate": 2.4533668341708542e-05, | |
| "loss": 0.8229, | |
| "step": 51200 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 7.9966206550598145, | |
| "learning_rate": 2.448341708542714e-05, | |
| "loss": 0.8015, | |
| "step": 51300 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "grad_norm": 2.7600510120391846, | |
| "learning_rate": 2.443316582914573e-05, | |
| "loss": 0.7778, | |
| "step": 51400 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 6.640542984008789, | |
| "learning_rate": 2.4382914572864325e-05, | |
| "loss": 0.7604, | |
| "step": 51500 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 2.193493127822876, | |
| "learning_rate": 2.4332663316582915e-05, | |
| "loss": 0.8104, | |
| "step": 51600 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 2.484828472137451, | |
| "learning_rate": 2.428241206030151e-05, | |
| "loss": 0.8317, | |
| "step": 51700 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 7.014501571655273, | |
| "learning_rate": 2.42321608040201e-05, | |
| "loss": 0.8444, | |
| "step": 51800 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 7.0019330978393555, | |
| "learning_rate": 2.4181909547738695e-05, | |
| "loss": 0.8316, | |
| "step": 51900 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 4.065704822540283, | |
| "learning_rate": 2.4131658291457288e-05, | |
| "loss": 0.7758, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_loss": 0.9396142363548279, | |
| "eval_runtime": 93.149, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 13.064213752746582, | |
| "learning_rate": 2.408140703517588e-05, | |
| "loss": 0.7676, | |
| "step": 52100 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "grad_norm": 2.7535459995269775, | |
| "learning_rate": 2.4031155778894474e-05, | |
| "loss": 0.8109, | |
| "step": 52200 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 5.052075386047363, | |
| "learning_rate": 2.3980904522613064e-05, | |
| "loss": 0.8604, | |
| "step": 52300 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 7.920835971832275, | |
| "learning_rate": 2.393065326633166e-05, | |
| "loss": 0.8534, | |
| "step": 52400 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 6.852170944213867, | |
| "learning_rate": 2.388040201005025e-05, | |
| "loss": 0.7455, | |
| "step": 52500 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "grad_norm": 3.4216814041137695, | |
| "learning_rate": 2.3830150753768847e-05, | |
| "loss": 0.8026, | |
| "step": 52600 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 7.002025127410889, | |
| "learning_rate": 2.3779899497487437e-05, | |
| "loss": 0.8337, | |
| "step": 52700 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 2.7925586700439453, | |
| "learning_rate": 2.372964824120603e-05, | |
| "loss": 0.7956, | |
| "step": 52800 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 5.271830081939697, | |
| "learning_rate": 2.3679396984924624e-05, | |
| "loss": 0.8455, | |
| "step": 52900 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 4.730651378631592, | |
| "learning_rate": 2.3629145728643217e-05, | |
| "loss": 0.8202, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "eval_loss": 0.9165379405021667, | |
| "eval_runtime": 93.1667, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 5.654317378997803, | |
| "learning_rate": 2.3579396984924625e-05, | |
| "loss": 0.8762, | |
| "step": 53100 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 8.263214111328125, | |
| "learning_rate": 2.3529145728643218e-05, | |
| "loss": 0.753, | |
| "step": 53200 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 8.440163612365723, | |
| "learning_rate": 2.3478894472361808e-05, | |
| "loss": 0.7939, | |
| "step": 53300 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "grad_norm": 4.141328811645508, | |
| "learning_rate": 2.3428643216080404e-05, | |
| "loss": 0.8289, | |
| "step": 53400 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 3.525546073913574, | |
| "learning_rate": 2.3378391959798994e-05, | |
| "loss": 0.8257, | |
| "step": 53500 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 2.550956964492798, | |
| "learning_rate": 2.332814070351759e-05, | |
| "loss": 0.7743, | |
| "step": 53600 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 3.5744988918304443, | |
| "learning_rate": 2.327788944723618e-05, | |
| "loss": 0.8341, | |
| "step": 53700 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "grad_norm": 3.221747398376465, | |
| "learning_rate": 2.3227638190954777e-05, | |
| "loss": 0.8191, | |
| "step": 53800 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 5.098736763000488, | |
| "learning_rate": 2.3177386934673367e-05, | |
| "loss": 0.7909, | |
| "step": 53900 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 3.8236818313598633, | |
| "learning_rate": 2.312713567839196e-05, | |
| "loss": 0.7992, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_loss": 0.9016970992088318, | |
| "eval_runtime": 93.1656, | |
| "eval_samples_per_second": 10.734, | |
| "eval_steps_per_second": 2.683, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 5.223961353302002, | |
| "learning_rate": 2.3076884422110554e-05, | |
| "loss": 0.7877, | |
| "step": 54100 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 2.1510214805603027, | |
| "learning_rate": 2.3026633165829147e-05, | |
| "loss": 0.8184, | |
| "step": 54200 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 4.342808723449707, | |
| "learning_rate": 2.297638190954774e-05, | |
| "loss": 0.7532, | |
| "step": 54300 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 3.9258158206939697, | |
| "learning_rate": 2.2926130653266333e-05, | |
| "loss": 0.8282, | |
| "step": 54400 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 8.203388214111328, | |
| "learning_rate": 2.2875879396984927e-05, | |
| "loss": 0.7674, | |
| "step": 54500 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "grad_norm": 7.974172592163086, | |
| "learning_rate": 2.282562814070352e-05, | |
| "loss": 0.8005, | |
| "step": 54600 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 1.6733659505844116, | |
| "learning_rate": 2.2775376884422113e-05, | |
| "loss": 0.8415, | |
| "step": 54700 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 4.691416263580322, | |
| "learning_rate": 2.2725125628140703e-05, | |
| "loss": 0.7929, | |
| "step": 54800 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "grad_norm": 8.121203422546387, | |
| "learning_rate": 2.2674874371859296e-05, | |
| "loss": 0.8706, | |
| "step": 54900 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 5.2276105880737305, | |
| "learning_rate": 2.262462311557789e-05, | |
| "loss": 0.8191, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 0.8968465328216553, | |
| "eval_runtime": 93.1186, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 10.938821792602539, | |
| "learning_rate": 2.2574371859296483e-05, | |
| "loss": 0.8166, | |
| "step": 55100 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 4.444934368133545, | |
| "learning_rate": 2.2524120603015076e-05, | |
| "loss": 0.8266, | |
| "step": 55200 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 3.187230110168457, | |
| "learning_rate": 2.247386934673367e-05, | |
| "loss": 0.7921, | |
| "step": 55300 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 6.6117048263549805, | |
| "learning_rate": 2.2423618090452262e-05, | |
| "loss": 0.7604, | |
| "step": 55400 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 1.8173909187316895, | |
| "learning_rate": 2.237386934673367e-05, | |
| "loss": 0.8627, | |
| "step": 55500 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 4.650048732757568, | |
| "learning_rate": 2.232361809045226e-05, | |
| "loss": 0.7781, | |
| "step": 55600 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "grad_norm": 2.5037543773651123, | |
| "learning_rate": 2.2273366834170857e-05, | |
| "loss": 0.8093, | |
| "step": 55700 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 1.6862285137176514, | |
| "learning_rate": 2.2223115577889446e-05, | |
| "loss": 0.8567, | |
| "step": 55800 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 7.282008647918701, | |
| "learning_rate": 2.2172864321608043e-05, | |
| "loss": 0.838, | |
| "step": 55900 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 5.399494647979736, | |
| "learning_rate": 2.2122613065326633e-05, | |
| "loss": 0.8188, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "eval_loss": 0.9193799495697021, | |
| "eval_runtime": 93.1427, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "grad_norm": 8.599305152893066, | |
| "learning_rate": 2.2072361809045226e-05, | |
| "loss": 0.8178, | |
| "step": 56100 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 7.157848834991455, | |
| "learning_rate": 2.202211055276382e-05, | |
| "loss": 0.8151, | |
| "step": 56200 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 6.2992448806762695, | |
| "learning_rate": 2.1971859296482413e-05, | |
| "loss": 0.8709, | |
| "step": 56300 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 4.634735584259033, | |
| "learning_rate": 2.1921608040201006e-05, | |
| "loss": 0.8394, | |
| "step": 56400 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "grad_norm": 3.598958969116211, | |
| "learning_rate": 2.18713567839196e-05, | |
| "loss": 0.8497, | |
| "step": 56500 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 5.21018648147583, | |
| "learning_rate": 2.1821105527638192e-05, | |
| "loss": 0.8176, | |
| "step": 56600 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 4.91611909866333, | |
| "learning_rate": 2.1770854271356786e-05, | |
| "loss": 0.7918, | |
| "step": 56700 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 3.1374623775482178, | |
| "learning_rate": 2.172060301507538e-05, | |
| "loss": 0.816, | |
| "step": 56800 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 14.474822998046875, | |
| "learning_rate": 2.1670351758793972e-05, | |
| "loss": 0.8669, | |
| "step": 56900 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 3.6005401611328125, | |
| "learning_rate": 2.1620100502512562e-05, | |
| "loss": 0.8186, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_loss": 0.9354815483093262, | |
| "eval_runtime": 93.1537, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 0.3770127296447754, | |
| "learning_rate": 2.156984924623116e-05, | |
| "loss": 0.7991, | |
| "step": 57100 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 6.312694072723389, | |
| "learning_rate": 2.151959798994975e-05, | |
| "loss": 0.8021, | |
| "step": 57200 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "grad_norm": 1.813674807548523, | |
| "learning_rate": 2.1469346733668345e-05, | |
| "loss": 0.7525, | |
| "step": 57300 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 4.475043773651123, | |
| "learning_rate": 2.1419095477386935e-05, | |
| "loss": 0.8184, | |
| "step": 57400 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 8.855767250061035, | |
| "learning_rate": 2.1368844221105528e-05, | |
| "loss": 0.7819, | |
| "step": 57500 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 3.376981735229492, | |
| "learning_rate": 2.131859296482412e-05, | |
| "loss": 0.7631, | |
| "step": 57600 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "grad_norm": 2.3325247764587402, | |
| "learning_rate": 2.1268341708542715e-05, | |
| "loss": 0.8452, | |
| "step": 57700 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 6.577011585235596, | |
| "learning_rate": 2.1218592964824122e-05, | |
| "loss": 0.8137, | |
| "step": 57800 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 4.225331783294678, | |
| "learning_rate": 2.1168341708542712e-05, | |
| "loss": 0.8107, | |
| "step": 57900 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 3.6176490783691406, | |
| "learning_rate": 2.111809045226131e-05, | |
| "loss": 0.8553, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_loss": 0.8989996314048767, | |
| "eval_runtime": 93.1531, | |
| "eval_samples_per_second": 10.735, | |
| "eval_steps_per_second": 2.684, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 9.829930305480957, | |
| "learning_rate": 2.10678391959799e-05, | |
| "loss": 0.7607, | |
| "step": 58100 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 6.14058780670166, | |
| "learning_rate": 2.1017587939698495e-05, | |
| "loss": 0.8465, | |
| "step": 58200 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 2.7666096687316895, | |
| "learning_rate": 2.0967336683417085e-05, | |
| "loss": 0.7562, | |
| "step": 58300 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 7.080272197723389, | |
| "learning_rate": 2.091708542713568e-05, | |
| "loss": 0.7751, | |
| "step": 58400 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "grad_norm": 5.646043300628662, | |
| "learning_rate": 2.086683417085427e-05, | |
| "loss": 0.8789, | |
| "step": 58500 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 5.366353511810303, | |
| "learning_rate": 2.0816582914572865e-05, | |
| "loss": 0.8433, | |
| "step": 58600 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 9.850458145141602, | |
| "learning_rate": 2.0766331658291458e-05, | |
| "loss": 0.7937, | |
| "step": 58700 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 6.383124351501465, | |
| "learning_rate": 2.071608040201005e-05, | |
| "loss": 0.791, | |
| "step": 58800 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "grad_norm": 4.849941730499268, | |
| "learning_rate": 2.0665829145728645e-05, | |
| "loss": 0.7229, | |
| "step": 58900 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 4.7146477699279785, | |
| "learning_rate": 2.0615577889447238e-05, | |
| "loss": 0.8076, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "eval_loss": 0.8675306439399719, | |
| "eval_runtime": 93.1423, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 3.0342600345611572, | |
| "learning_rate": 2.056532663316583e-05, | |
| "loss": 0.8242, | |
| "step": 59100 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 10.506383895874023, | |
| "learning_rate": 2.0515075376884424e-05, | |
| "loss": 0.7938, | |
| "step": 59200 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 12.584467887878418, | |
| "learning_rate": 2.0464824120603014e-05, | |
| "loss": 0.7225, | |
| "step": 59300 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 5.804998397827148, | |
| "learning_rate": 2.041457286432161e-05, | |
| "loss": 0.7717, | |
| "step": 59400 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 2.937588691711426, | |
| "learning_rate": 2.03643216080402e-05, | |
| "loss": 0.7516, | |
| "step": 59500 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 5.086533546447754, | |
| "learning_rate": 2.0314070351758797e-05, | |
| "loss": 0.7484, | |
| "step": 59600 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "grad_norm": 5.561635971069336, | |
| "learning_rate": 2.0263819095477387e-05, | |
| "loss": 0.7737, | |
| "step": 59700 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 4.539155006408691, | |
| "learning_rate": 2.0213567839195984e-05, | |
| "loss": 0.7645, | |
| "step": 59800 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 7.240508079528809, | |
| "learning_rate": 2.0163316582914574e-05, | |
| "loss": 0.8262, | |
| "step": 59900 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 4.487994194030762, | |
| "learning_rate": 2.0113065326633167e-05, | |
| "loss": 0.851, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "eval_loss": 0.9379053711891174, | |
| "eval_runtime": 93.1644, | |
| "eval_samples_per_second": 10.734, | |
| "eval_steps_per_second": 2.683, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 3.100945234298706, | |
| "learning_rate": 2.006281407035176e-05, | |
| "loss": 0.7998, | |
| "step": 60100 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 5.316318035125732, | |
| "learning_rate": 2.001256281407035e-05, | |
| "loss": 0.8322, | |
| "step": 60200 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 1.705694556236267, | |
| "learning_rate": 1.9962311557788947e-05, | |
| "loss": 0.8099, | |
| "step": 60300 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 7.9559783935546875, | |
| "learning_rate": 1.9912060301507536e-05, | |
| "loss": 0.8489, | |
| "step": 60400 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 9.180657386779785, | |
| "learning_rate": 1.9861809045226133e-05, | |
| "loss": 0.8327, | |
| "step": 60500 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 4.283862113952637, | |
| "learning_rate": 1.9811557788944723e-05, | |
| "loss": 0.7234, | |
| "step": 60600 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 5.539619445800781, | |
| "learning_rate": 1.976130653266332e-05, | |
| "loss": 0.8569, | |
| "step": 60700 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 9.324729919433594, | |
| "learning_rate": 1.971105527638191e-05, | |
| "loss": 0.7977, | |
| "step": 60800 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 4.896857738494873, | |
| "learning_rate": 1.9660804020100503e-05, | |
| "loss": 0.7394, | |
| "step": 60900 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "grad_norm": 4.1820831298828125, | |
| "learning_rate": 1.9610552763819096e-05, | |
| "loss": 0.7694, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "eval_loss": 0.8731037378311157, | |
| "eval_runtime": 93.1073, | |
| "eval_samples_per_second": 10.74, | |
| "eval_steps_per_second": 2.685, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 4.465863227844238, | |
| "learning_rate": 1.956030150753769e-05, | |
| "loss": 0.7947, | |
| "step": 61100 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 5.7435526847839355, | |
| "learning_rate": 1.9510050251256282e-05, | |
| "loss": 0.7457, | |
| "step": 61200 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "grad_norm": 7.473779201507568, | |
| "learning_rate": 1.9459798994974876e-05, | |
| "loss": 0.8125, | |
| "step": 61300 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 5.428642749786377, | |
| "learning_rate": 1.940954773869347e-05, | |
| "loss": 0.7669, | |
| "step": 61400 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 4.349414348602295, | |
| "learning_rate": 1.9359296482412062e-05, | |
| "loss": 0.816, | |
| "step": 61500 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 7.700584888458252, | |
| "learning_rate": 1.9309045226130655e-05, | |
| "loss": 0.7852, | |
| "step": 61600 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 5.3439621925354, | |
| "learning_rate": 1.925879396984925e-05, | |
| "loss": 0.8217, | |
| "step": 61700 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 5.036532878875732, | |
| "learning_rate": 1.920854271356784e-05, | |
| "loss": 0.7393, | |
| "step": 61800 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 17.64934730529785, | |
| "learning_rate": 1.915879396984925e-05, | |
| "loss": 0.8063, | |
| "step": 61900 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 5.335484027862549, | |
| "learning_rate": 1.910854271356784e-05, | |
| "loss": 0.8138, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_loss": 0.8697061538696289, | |
| "eval_runtime": 93.1231, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.685, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "grad_norm": 7.09649133682251, | |
| "learning_rate": 1.9058291457286433e-05, | |
| "loss": 0.7725, | |
| "step": 62100 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 8.522541046142578, | |
| "learning_rate": 1.9008040201005026e-05, | |
| "loss": 0.7777, | |
| "step": 62200 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 7.422926425933838, | |
| "learning_rate": 1.895778894472362e-05, | |
| "loss": 0.8084, | |
| "step": 62300 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 4.379819393157959, | |
| "learning_rate": 1.8907537688442212e-05, | |
| "loss": 0.7781, | |
| "step": 62400 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 3.58109450340271, | |
| "learning_rate": 1.8857286432160806e-05, | |
| "loss": 0.7861, | |
| "step": 62500 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "grad_norm": 7.983757019042969, | |
| "learning_rate": 1.88070351758794e-05, | |
| "loss": 0.7955, | |
| "step": 62600 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 4.671863555908203, | |
| "learning_rate": 1.8756783919597992e-05, | |
| "loss": 0.8038, | |
| "step": 62700 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 6.778916358947754, | |
| "learning_rate": 1.8706532663316585e-05, | |
| "loss": 0.7582, | |
| "step": 62800 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 3.6116878986358643, | |
| "learning_rate": 1.8656281407035175e-05, | |
| "loss": 0.762, | |
| "step": 62900 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 7.216502666473389, | |
| "learning_rate": 1.8606532663316583e-05, | |
| "loss": 0.7795, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "eval_loss": 0.9283447861671448, | |
| "eval_runtime": 93.0979, | |
| "eval_samples_per_second": 10.741, | |
| "eval_steps_per_second": 2.685, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 7.127340316772461, | |
| "learning_rate": 1.855628140703518e-05, | |
| "loss": 0.83, | |
| "step": 63100 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 2.5859460830688477, | |
| "learning_rate": 1.850603015075377e-05, | |
| "loss": 0.782, | |
| "step": 63200 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 9.9983491897583, | |
| "learning_rate": 1.8455778894472363e-05, | |
| "loss": 0.7793, | |
| "step": 63300 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "grad_norm": 3.28371000289917, | |
| "learning_rate": 1.8405527638190956e-05, | |
| "loss": 0.8048, | |
| "step": 63400 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 9.143861770629883, | |
| "learning_rate": 1.835527638190955e-05, | |
| "loss": 0.8056, | |
| "step": 63500 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 0.5545308589935303, | |
| "learning_rate": 1.8305025125628142e-05, | |
| "loss": 0.7864, | |
| "step": 63600 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 5.879006385803223, | |
| "learning_rate": 1.8254773869346732e-05, | |
| "loss": 0.814, | |
| "step": 63700 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "grad_norm": 8.02795124053955, | |
| "learning_rate": 1.820452261306533e-05, | |
| "loss": 0.8679, | |
| "step": 63800 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 8.666707038879395, | |
| "learning_rate": 1.815427135678392e-05, | |
| "loss": 0.8548, | |
| "step": 63900 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 2.4890201091766357, | |
| "learning_rate": 1.8104020100502515e-05, | |
| "loss": 0.861, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "eval_loss": 0.9001312255859375, | |
| "eval_runtime": 93.123, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.685, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 5.596157073974609, | |
| "learning_rate": 1.8053768844221105e-05, | |
| "loss": 0.8193, | |
| "step": 64100 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 6.049336910247803, | |
| "learning_rate": 1.80035175879397e-05, | |
| "loss": 0.783, | |
| "step": 64200 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 3.6119985580444336, | |
| "learning_rate": 1.795326633165829e-05, | |
| "loss": 0.7983, | |
| "step": 64300 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 6.655552387237549, | |
| "learning_rate": 1.7903015075376885e-05, | |
| "loss": 0.7947, | |
| "step": 64400 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 3.9695820808410645, | |
| "learning_rate": 1.7852763819095478e-05, | |
| "loss": 0.8059, | |
| "step": 64500 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "grad_norm": 5.60053014755249, | |
| "learning_rate": 1.780251256281407e-05, | |
| "loss": 0.7523, | |
| "step": 64600 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 3.6050097942352295, | |
| "learning_rate": 1.7752261306532665e-05, | |
| "loss": 0.8396, | |
| "step": 64700 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 9.066208839416504, | |
| "learning_rate": 1.7702010050251258e-05, | |
| "loss": 0.8064, | |
| "step": 64800 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 10.357030868530273, | |
| "learning_rate": 1.765175879396985e-05, | |
| "loss": 0.7886, | |
| "step": 64900 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "grad_norm": 5.488982677459717, | |
| "learning_rate": 1.7601507537688444e-05, | |
| "loss": 0.8075, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "eval_loss": 0.9325853586196899, | |
| "eval_runtime": 93.1385, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 4.819763660430908, | |
| "learning_rate": 1.7551256281407034e-05, | |
| "loss": 0.7612, | |
| "step": 65100 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 7.374830722808838, | |
| "learning_rate": 1.750100502512563e-05, | |
| "loss": 0.7867, | |
| "step": 65200 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 10.001041412353516, | |
| "learning_rate": 1.745075376884422e-05, | |
| "loss": 0.8175, | |
| "step": 65300 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 6.270244598388672, | |
| "learning_rate": 1.7400502512562817e-05, | |
| "loss": 0.7396, | |
| "step": 65400 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 4.1896772384643555, | |
| "learning_rate": 1.7350251256281407e-05, | |
| "loss": 0.7738, | |
| "step": 65500 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 6.399722099304199, | |
| "learning_rate": 1.73e-05, | |
| "loss": 0.806, | |
| "step": 65600 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "grad_norm": 3.8990511894226074, | |
| "learning_rate": 1.7249748743718594e-05, | |
| "loss": 0.7438, | |
| "step": 65700 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 5.120051383972168, | |
| "learning_rate": 1.7199497487437187e-05, | |
| "loss": 0.7261, | |
| "step": 65800 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 4.206692695617676, | |
| "learning_rate": 1.714924623115578e-05, | |
| "loss": 0.8095, | |
| "step": 65900 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 12.36181640625, | |
| "learning_rate": 1.709899497487437e-05, | |
| "loss": 0.8073, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "eval_loss": 0.8938525915145874, | |
| "eval_runtime": 93.1198, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "grad_norm": 7.308992862701416, | |
| "learning_rate": 1.7048743718592967e-05, | |
| "loss": 0.7847, | |
| "step": 66100 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 6.200756072998047, | |
| "learning_rate": 1.6998492462311556e-05, | |
| "loss": 0.7794, | |
| "step": 66200 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 4.346643447875977, | |
| "learning_rate": 1.6948241206030153e-05, | |
| "loss": 0.8072, | |
| "step": 66300 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 5.740476131439209, | |
| "learning_rate": 1.6897989949748743e-05, | |
| "loss": 0.8331, | |
| "step": 66400 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "grad_norm": 4.887804985046387, | |
| "learning_rate": 1.684773869346734e-05, | |
| "loss": 0.7855, | |
| "step": 66500 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 4.159181118011475, | |
| "learning_rate": 1.679748743718593e-05, | |
| "loss": 0.7892, | |
| "step": 66600 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 3.0571138858795166, | |
| "learning_rate": 1.6747236180904523e-05, | |
| "loss": 0.7232, | |
| "step": 66700 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 4.245538711547852, | |
| "learning_rate": 1.6696984924623116e-05, | |
| "loss": 0.7878, | |
| "step": 66800 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "grad_norm": 12.613323211669922, | |
| "learning_rate": 1.664673366834171e-05, | |
| "loss": 0.8625, | |
| "step": 66900 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 11.823962211608887, | |
| "learning_rate": 1.6596482412060302e-05, | |
| "loss": 0.7439, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "eval_loss": 0.8676530122756958, | |
| "eval_runtime": 93.1279, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.684, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 11.366893768310547, | |
| "learning_rate": 1.654673366834171e-05, | |
| "loss": 0.7777, | |
| "step": 67100 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 2.996554136276245, | |
| "learning_rate": 1.6496482412060303e-05, | |
| "loss": 0.752, | |
| "step": 67200 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "grad_norm": 4.225461959838867, | |
| "learning_rate": 1.6446231155778897e-05, | |
| "loss": 0.7629, | |
| "step": 67300 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 2.6366543769836426, | |
| "learning_rate": 1.6395979899497486e-05, | |
| "loss": 0.788, | |
| "step": 67400 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 6.298273086547852, | |
| "learning_rate": 1.6345728643216083e-05, | |
| "loss": 0.7872, | |
| "step": 67500 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 6.06473970413208, | |
| "learning_rate": 1.6295477386934673e-05, | |
| "loss": 0.8203, | |
| "step": 67600 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 7.898092269897461, | |
| "learning_rate": 1.624572864321608e-05, | |
| "loss": 0.7611, | |
| "step": 67700 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "grad_norm": 0.26392027735710144, | |
| "learning_rate": 1.6195477386934674e-05, | |
| "loss": 0.7797, | |
| "step": 67800 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 8.04962158203125, | |
| "learning_rate": 1.6145226130653267e-05, | |
| "loss": 0.7999, | |
| "step": 67900 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 3.1057941913604736, | |
| "learning_rate": 1.609497487437186e-05, | |
| "loss": 0.8137, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "eval_loss": 0.9231812953948975, | |
| "eval_runtime": 93.1285, | |
| "eval_samples_per_second": 10.738, | |
| "eval_steps_per_second": 2.684, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "grad_norm": 7.14741325378418, | |
| "learning_rate": 1.6044723618090454e-05, | |
| "loss": 0.8056, | |
| "step": 68100 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 3.0000669956207275, | |
| "learning_rate": 1.5994472361809047e-05, | |
| "loss": 0.819, | |
| "step": 68200 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 8.119636535644531, | |
| "learning_rate": 1.594422110552764e-05, | |
| "loss": 0.7692, | |
| "step": 68300 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 12.256668090820312, | |
| "learning_rate": 1.5893969849246233e-05, | |
| "loss": 0.7655, | |
| "step": 68400 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 6.233114242553711, | |
| "learning_rate": 1.5843718592964823e-05, | |
| "loss": 0.7729, | |
| "step": 68500 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "grad_norm": 8.290607452392578, | |
| "learning_rate": 1.5793467336683416e-05, | |
| "loss": 0.6898, | |
| "step": 68600 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 9.289992332458496, | |
| "learning_rate": 1.574321608040201e-05, | |
| "loss": 0.7387, | |
| "step": 68700 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 3.4356155395507812, | |
| "learning_rate": 1.5692964824120603e-05, | |
| "loss": 0.7965, | |
| "step": 68800 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "grad_norm": 3.125286340713501, | |
| "learning_rate": 1.5642713567839196e-05, | |
| "loss": 0.7263, | |
| "step": 68900 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 2.8927297592163086, | |
| "learning_rate": 1.559246231155779e-05, | |
| "loss": 0.701, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "eval_loss": 0.9217960238456726, | |
| "eval_runtime": 93.14, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 9.302748680114746, | |
| "learning_rate": 1.5542211055276383e-05, | |
| "loss": 0.7481, | |
| "step": 69100 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 6.11757230758667, | |
| "learning_rate": 1.5491959798994976e-05, | |
| "loss": 0.7029, | |
| "step": 69200 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 7.994334697723389, | |
| "learning_rate": 1.544170854271357e-05, | |
| "loss": 0.7731, | |
| "step": 69300 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "grad_norm": 8.997603416442871, | |
| "learning_rate": 1.5391457286432162e-05, | |
| "loss": 0.8639, | |
| "step": 69400 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 4.444380283355713, | |
| "learning_rate": 1.5341206030150752e-05, | |
| "loss": 0.7567, | |
| "step": 69500 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 5.060299873352051, | |
| "learning_rate": 1.529095477386935e-05, | |
| "loss": 0.7468, | |
| "step": 69600 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "grad_norm": 5.900922775268555, | |
| "learning_rate": 1.524070351758794e-05, | |
| "loss": 0.8089, | |
| "step": 69700 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 9.167262077331543, | |
| "learning_rate": 1.5190452261306534e-05, | |
| "loss": 0.7549, | |
| "step": 69800 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 3.5557000637054443, | |
| "learning_rate": 1.5140201005025125e-05, | |
| "loss": 0.8366, | |
| "step": 69900 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 1.1888383626937866, | |
| "learning_rate": 1.508994974874372e-05, | |
| "loss": 0.7529, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_loss": 0.8521784543991089, | |
| "eval_runtime": 93.1203, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 4.121077537536621, | |
| "learning_rate": 1.5039698492462312e-05, | |
| "loss": 0.7658, | |
| "step": 70100 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 5.181189060211182, | |
| "learning_rate": 1.498994974874372e-05, | |
| "loss": 0.7347, | |
| "step": 70200 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 4.053492546081543, | |
| "learning_rate": 1.4939698492462313e-05, | |
| "loss": 0.8159, | |
| "step": 70300 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 6.347891807556152, | |
| "learning_rate": 1.4889447236180906e-05, | |
| "loss": 0.835, | |
| "step": 70400 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "grad_norm": 6.455724239349365, | |
| "learning_rate": 1.4839195979899497e-05, | |
| "loss": 0.7674, | |
| "step": 70500 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 2.7582502365112305, | |
| "learning_rate": 1.4788944723618092e-05, | |
| "loss": 0.7656, | |
| "step": 70600 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 2.472013473510742, | |
| "learning_rate": 1.4738693467336684e-05, | |
| "loss": 0.775, | |
| "step": 70700 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 6.966689586639404, | |
| "learning_rate": 1.4688442211055279e-05, | |
| "loss": 0.7697, | |
| "step": 70800 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 3.572748899459839, | |
| "learning_rate": 1.463819095477387e-05, | |
| "loss": 0.7406, | |
| "step": 70900 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "grad_norm": 13.143310546875, | |
| "learning_rate": 1.4587939698492464e-05, | |
| "loss": 0.8036, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "eval_loss": 0.8541510105133057, | |
| "eval_runtime": 93.1043, | |
| "eval_samples_per_second": 10.741, | |
| "eval_steps_per_second": 2.685, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 3.642167806625366, | |
| "learning_rate": 1.4537688442211055e-05, | |
| "loss": 0.7912, | |
| "step": 71100 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 10.763513565063477, | |
| "learning_rate": 1.4487437185929648e-05, | |
| "loss": 0.8091, | |
| "step": 71200 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "grad_norm": 4.094142913818359, | |
| "learning_rate": 1.4437185929648242e-05, | |
| "loss": 0.7331, | |
| "step": 71300 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 6.153075218200684, | |
| "learning_rate": 1.4386934673366833e-05, | |
| "loss": 0.8162, | |
| "step": 71400 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 4.609516620635986, | |
| "learning_rate": 1.4336683417085428e-05, | |
| "loss": 0.8265, | |
| "step": 71500 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 6.956715106964111, | |
| "learning_rate": 1.428643216080402e-05, | |
| "loss": 0.8303, | |
| "step": 71600 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 8.181746482849121, | |
| "learning_rate": 1.4236180904522615e-05, | |
| "loss": 0.777, | |
| "step": 71700 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "grad_norm": 8.35756778717041, | |
| "learning_rate": 1.4185929648241206e-05, | |
| "loss": 0.7939, | |
| "step": 71800 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 6.512216567993164, | |
| "learning_rate": 1.41356783919598e-05, | |
| "loss": 0.7853, | |
| "step": 71900 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 6.464352130889893, | |
| "learning_rate": 1.4085427135678391e-05, | |
| "loss": 0.8135, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "eval_loss": 0.8742861151695251, | |
| "eval_runtime": 93.0945, | |
| "eval_samples_per_second": 10.742, | |
| "eval_steps_per_second": 2.685, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "grad_norm": 5.150899410247803, | |
| "learning_rate": 1.4035175879396986e-05, | |
| "loss": 0.7664, | |
| "step": 72100 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 2.8593320846557617, | |
| "learning_rate": 1.3984924623115577e-05, | |
| "loss": 0.8266, | |
| "step": 72200 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 6.50922155380249, | |
| "learning_rate": 1.3934673366834172e-05, | |
| "loss": 0.761, | |
| "step": 72300 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 4.50417947769165, | |
| "learning_rate": 1.3884422110552764e-05, | |
| "loss": 0.7875, | |
| "step": 72400 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 5.570100784301758, | |
| "learning_rate": 1.3834170854271359e-05, | |
| "loss": 0.8033, | |
| "step": 72500 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "grad_norm": 10.100653648376465, | |
| "learning_rate": 1.378391959798995e-05, | |
| "loss": 0.7554, | |
| "step": 72600 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 10.893858909606934, | |
| "learning_rate": 1.3733668341708544e-05, | |
| "loss": 0.7077, | |
| "step": 72700 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 3.154226541519165, | |
| "learning_rate": 1.368391959798995e-05, | |
| "loss": 0.7678, | |
| "step": 72800 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 7.701584339141846, | |
| "learning_rate": 1.3633668341708545e-05, | |
| "loss": 0.7958, | |
| "step": 72900 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "grad_norm": 9.466403007507324, | |
| "learning_rate": 1.3583417085427136e-05, | |
| "loss": 0.8119, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_loss": 0.878372073173523, | |
| "eval_runtime": 93.1706, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 8.789670944213867, | |
| "learning_rate": 1.3533165829145731e-05, | |
| "loss": 0.7594, | |
| "step": 73100 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 9.359320640563965, | |
| "learning_rate": 1.3482914572864323e-05, | |
| "loss": 0.7382, | |
| "step": 73200 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 3.5085604190826416, | |
| "learning_rate": 1.3432663316582916e-05, | |
| "loss": 0.7811, | |
| "step": 73300 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "grad_norm": 3.8232526779174805, | |
| "learning_rate": 1.3382412060301507e-05, | |
| "loss": 0.742, | |
| "step": 73400 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 5.470067024230957, | |
| "learning_rate": 1.3332160804020102e-05, | |
| "loss": 0.8204, | |
| "step": 73500 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 2.5600407123565674, | |
| "learning_rate": 1.3281909547738694e-05, | |
| "loss": 0.7655, | |
| "step": 73600 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 2.3198015689849854, | |
| "learning_rate": 1.3231658291457289e-05, | |
| "loss": 0.7856, | |
| "step": 73700 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "grad_norm": 8.053333282470703, | |
| "learning_rate": 1.318140703517588e-05, | |
| "loss": 0.8319, | |
| "step": 73800 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 6.589441776275635, | |
| "learning_rate": 1.3131155778894472e-05, | |
| "loss": 0.7642, | |
| "step": 73900 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 3.052572250366211, | |
| "learning_rate": 1.3080904522613067e-05, | |
| "loss": 0.776, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "eval_loss": 0.8486243486404419, | |
| "eval_runtime": 93.14, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 6.734087944030762, | |
| "learning_rate": 1.3030653266331658e-05, | |
| "loss": 0.8113, | |
| "step": 74100 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "grad_norm": 3.0014145374298096, | |
| "learning_rate": 1.2980402010050252e-05, | |
| "loss": 0.8076, | |
| "step": 74200 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 9.161528587341309, | |
| "learning_rate": 1.2930150753768843e-05, | |
| "loss": 0.7918, | |
| "step": 74300 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 6.697804927825928, | |
| "learning_rate": 1.2879899497487438e-05, | |
| "loss": 0.8148, | |
| "step": 74400 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 8.576240539550781, | |
| "learning_rate": 1.282964824120603e-05, | |
| "loss": 0.7362, | |
| "step": 74500 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "grad_norm": 6.68988037109375, | |
| "learning_rate": 1.2779396984924625e-05, | |
| "loss": 0.7741, | |
| "step": 74600 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 4.636489391326904, | |
| "learning_rate": 1.2729145728643216e-05, | |
| "loss": 0.7666, | |
| "step": 74700 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 4.227512836456299, | |
| "learning_rate": 1.2678894472361811e-05, | |
| "loss": 0.8033, | |
| "step": 74800 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "grad_norm": 10.484670639038086, | |
| "learning_rate": 1.2628643216080403e-05, | |
| "loss": 0.8015, | |
| "step": 74900 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 3.7899045944213867, | |
| "learning_rate": 1.2578391959798996e-05, | |
| "loss": 0.7305, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "eval_loss": 0.8654676675796509, | |
| "eval_runtime": 93.1732, | |
| "eval_samples_per_second": 10.733, | |
| "eval_steps_per_second": 2.683, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 5.665567398071289, | |
| "learning_rate": 1.2528643216080402e-05, | |
| "loss": 0.7619, | |
| "step": 75100 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 7.015081882476807, | |
| "learning_rate": 1.2478391959798997e-05, | |
| "loss": 0.7761, | |
| "step": 75200 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "grad_norm": 6.353122711181641, | |
| "learning_rate": 1.2428140703517588e-05, | |
| "loss": 0.748, | |
| "step": 75300 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 2.5389204025268555, | |
| "learning_rate": 1.2377889447236182e-05, | |
| "loss": 0.7846, | |
| "step": 75400 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 2.3196558952331543, | |
| "learning_rate": 1.2327638190954773e-05, | |
| "loss": 0.7793, | |
| "step": 75500 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 6.59114933013916, | |
| "learning_rate": 1.2277386934673366e-05, | |
| "loss": 0.7883, | |
| "step": 75600 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "grad_norm": 11.592848777770996, | |
| "learning_rate": 1.222713567839196e-05, | |
| "loss": 0.762, | |
| "step": 75700 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "grad_norm": 2.90639328956604, | |
| "learning_rate": 1.2176884422110553e-05, | |
| "loss": 0.7188, | |
| "step": 75800 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "grad_norm": 3.033656597137451, | |
| "learning_rate": 1.2126633165829146e-05, | |
| "loss": 0.6816, | |
| "step": 75900 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "grad_norm": 5.675739765167236, | |
| "learning_rate": 1.207638190954774e-05, | |
| "loss": 0.721, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "eval_loss": 0.8610661625862122, | |
| "eval_runtime": 93.1189, | |
| "eval_samples_per_second": 10.739, | |
| "eval_steps_per_second": 2.685, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "grad_norm": 2.424712657928467, | |
| "learning_rate": 1.2026130653266333e-05, | |
| "loss": 0.7505, | |
| "step": 76100 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 5.7225470542907715, | |
| "learning_rate": 1.1975879396984926e-05, | |
| "loss": 0.7764, | |
| "step": 76200 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 2.682415723800659, | |
| "learning_rate": 1.1925628140703517e-05, | |
| "loss": 0.7766, | |
| "step": 76300 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 3.9195406436920166, | |
| "learning_rate": 1.187537688442211e-05, | |
| "loss": 0.7373, | |
| "step": 76400 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "grad_norm": 3.46449613571167, | |
| "learning_rate": 1.1825125628140704e-05, | |
| "loss": 0.8011, | |
| "step": 76500 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 6.3689069747924805, | |
| "learning_rate": 1.1774874371859297e-05, | |
| "loss": 0.7828, | |
| "step": 76600 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 1.710821509361267, | |
| "learning_rate": 1.172462311557789e-05, | |
| "loss": 0.7638, | |
| "step": 76700 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 10.961737632751465, | |
| "learning_rate": 1.1674371859296484e-05, | |
| "loss": 0.7036, | |
| "step": 76800 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "grad_norm": 5.5576395988464355, | |
| "learning_rate": 1.1624120603015077e-05, | |
| "loss": 0.7446, | |
| "step": 76900 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 2.242861747741699, | |
| "learning_rate": 1.1573869346733668e-05, | |
| "loss": 0.7571, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_loss": 0.8827255368232727, | |
| "eval_runtime": 93.1481, | |
| "eval_samples_per_second": 10.736, | |
| "eval_steps_per_second": 2.684, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 4.320422172546387, | |
| "learning_rate": 1.1523618090452262e-05, | |
| "loss": 0.7392, | |
| "step": 77100 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 5.0130615234375, | |
| "learning_rate": 1.147386934673367e-05, | |
| "loss": 0.7659, | |
| "step": 77200 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "grad_norm": 6.650476932525635, | |
| "learning_rate": 1.1423618090452263e-05, | |
| "loss": 0.6964, | |
| "step": 77300 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 4.825006008148193, | |
| "learning_rate": 1.1373366834170856e-05, | |
| "loss": 0.7344, | |
| "step": 77400 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 6.247884750366211, | |
| "learning_rate": 1.1323115577889447e-05, | |
| "loss": 0.7133, | |
| "step": 77500 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 4.41520881652832, | |
| "learning_rate": 1.127286432160804e-05, | |
| "loss": 0.7219, | |
| "step": 77600 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 7.191974639892578, | |
| "learning_rate": 1.1222613065326634e-05, | |
| "loss": 0.7417, | |
| "step": 77700 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "grad_norm": 3.9499876499176025, | |
| "learning_rate": 1.1172361809045227e-05, | |
| "loss": 0.7488, | |
| "step": 77800 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 3.5450992584228516, | |
| "learning_rate": 1.112211055276382e-05, | |
| "loss": 0.7433, | |
| "step": 77900 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 3.713775157928467, | |
| "learning_rate": 1.1071859296482412e-05, | |
| "loss": 0.6978, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "eval_loss": 0.8865166306495667, | |
| "eval_runtime": 93.1372, | |
| "eval_samples_per_second": 10.737, | |
| "eval_steps_per_second": 2.684, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "grad_norm": 4.509785175323486, | |
| "learning_rate": 1.1021608040201005e-05, | |
| "loss": 0.8032, | |
| "step": 78100 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 4.823591709136963, | |
| "learning_rate": 1.0971356783919598e-05, | |
| "loss": 0.7822, | |
| "step": 78200 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 3.9249942302703857, | |
| "learning_rate": 1.0921105527638192e-05, | |
| "loss": 0.7506, | |
| "step": 78300 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 7.268338203430176, | |
| "learning_rate": 1.0870854271356783e-05, | |
| "loss": 0.7698, | |
| "step": 78400 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 7.747581958770752, | |
| "learning_rate": 1.0820603015075376e-05, | |
| "loss": 0.7093, | |
| "step": 78500 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "grad_norm": 9.720921516418457, | |
| "learning_rate": 1.077035175879397e-05, | |
| "loss": 0.7934, | |
| "step": 78600 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 7.734616756439209, | |
| "learning_rate": 1.0720100502512563e-05, | |
| "loss": 0.7819, | |
| "step": 78700 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 7.007671356201172, | |
| "learning_rate": 1.0669849246231156e-05, | |
| "loss": 0.7296, | |
| "step": 78800 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "grad_norm": 3.1866681575775146, | |
| "learning_rate": 1.061959798994975e-05, | |
| "loss": 0.8135, | |
| "step": 78900 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 3.9308559894561768, | |
| "learning_rate": 1.0569346733668343e-05, | |
| "loss": 0.7819, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "eval_loss": 0.8832026124000549, | |
| "eval_runtime": 93.0901, | |
| "eval_samples_per_second": 10.742, | |
| "eval_steps_per_second": 2.686, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 5.734823226928711, | |
| "learning_rate": 1.0519095477386936e-05, | |
| "loss": 0.7862, | |
| "step": 79100 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 3.2910168170928955, | |
| "learning_rate": 1.0468844221105527e-05, | |
| "loss": 0.7575, | |
| "step": 79200 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 4.012611389160156, | |
| "learning_rate": 1.041859296482412e-05, | |
| "loss": 0.7966, | |
| "step": 79300 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "grad_norm": 6.5967535972595215, | |
| "learning_rate": 1.0368341708542714e-05, | |
| "loss": 0.7862, | |
| "step": 79400 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 6.494651794433594, | |
| "learning_rate": 1.0318592964824122e-05, | |
| "loss": 0.7849, | |
| "step": 79500 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 8.57440185546875, | |
| "learning_rate": 1.0268341708542715e-05, | |
| "loss": 0.7216, | |
| "step": 79600 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "grad_norm": 6.793177604675293, | |
| "learning_rate": 1.0218090452261306e-05, | |
| "loss": 0.7803, | |
| "step": 79700 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 8.437973022460938, | |
| "learning_rate": 1.01678391959799e-05, | |
| "loss": 0.7464, | |
| "step": 79800 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 5.798175811767578, | |
| "learning_rate": 1.0117587939698493e-05, | |
| "loss": 0.7847, | |
| "step": 79900 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 4.946900844573975, | |
| "learning_rate": 1.0067336683417086e-05, | |
| "loss": 0.7455, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.8540694117546082, | |
| "eval_runtime": 93.087, | |
| "eval_samples_per_second": 10.743, | |
| "eval_steps_per_second": 2.686, | |
| "step": 80000 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 100000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 1000, | |
| "total_flos": 1.28817007951872e+18, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |