| { | |
| "best_metric": 3.962663412094116, | |
| "best_model_checkpoint": "output_hemo_aug_4/checkpoint-990", | |
| "epoch": 200.0, | |
| "eval_steps": 500, | |
| "global_step": 1200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 9.950000000000001e-06, | |
| "loss": 9.4301, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.024437927663734114, | |
| "eval_loss": 8.684534072875977, | |
| "eval_runtime": 3.4336, | |
| "eval_samples_per_second": 0.291, | |
| "eval_steps_per_second": 0.291, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 9.9e-06, | |
| "loss": 8.4172, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.08113391984359726, | |
| "eval_loss": 7.8148698806762695, | |
| "eval_runtime": 3.5386, | |
| "eval_samples_per_second": 0.283, | |
| "eval_steps_per_second": 0.283, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 9.85e-06, | |
| "loss": 7.6869, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.15542521994134897, | |
| "eval_loss": 7.201221942901611, | |
| "eval_runtime": 3.2749, | |
| "eval_samples_per_second": 0.305, | |
| "eval_steps_per_second": 0.305, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 9.800000000000001e-06, | |
| "loss": 7.1731, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.1827956989247312, | |
| "eval_loss": 6.913944721221924, | |
| "eval_runtime": 3.2424, | |
| "eval_samples_per_second": 0.308, | |
| "eval_steps_per_second": 0.308, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 9.75e-06, | |
| "loss": 6.8807, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.19550342130987292, | |
| "eval_loss": 6.623848915100098, | |
| "eval_runtime": 3.4613, | |
| "eval_samples_per_second": 0.289, | |
| "eval_steps_per_second": 0.289, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 9.7e-06, | |
| "loss": 6.6009, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.1935483870967742, | |
| "eval_loss": 6.384663105010986, | |
| "eval_runtime": 4.2768, | |
| "eval_samples_per_second": 0.234, | |
| "eval_steps_per_second": 0.234, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 9.65e-06, | |
| "loss": 6.4347, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.20625610948191594, | |
| "eval_loss": 6.234148979187012, | |
| "eval_runtime": 3.3994, | |
| "eval_samples_per_second": 0.294, | |
| "eval_steps_per_second": 0.294, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 9.600000000000001e-06, | |
| "loss": 6.2831, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.21407624633431085, | |
| "eval_loss": 6.096428394317627, | |
| "eval_runtime": 3.1809, | |
| "eval_samples_per_second": 0.314, | |
| "eval_steps_per_second": 0.314, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 9.55e-06, | |
| "loss": 6.1728, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.2209188660801564, | |
| "eval_loss": 5.98640775680542, | |
| "eval_runtime": 3.4302, | |
| "eval_samples_per_second": 0.292, | |
| "eval_steps_per_second": 0.292, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 9.5e-06, | |
| "loss": 6.0805, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.2316715542521994, | |
| "eval_loss": 5.893611907958984, | |
| "eval_runtime": 3.6923, | |
| "eval_samples_per_second": 0.271, | |
| "eval_steps_per_second": 0.271, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 9.450000000000001e-06, | |
| "loss": 5.9959, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.2404692082111437, | |
| "eval_loss": 5.81611967086792, | |
| "eval_runtime": 3.2748, | |
| "eval_samples_per_second": 0.305, | |
| "eval_steps_per_second": 0.305, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 9.4e-06, | |
| "loss": 5.925, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.23851417399804498, | |
| "eval_loss": 5.745607852935791, | |
| "eval_runtime": 3.4474, | |
| "eval_samples_per_second": 0.29, | |
| "eval_steps_per_second": 0.29, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 9.350000000000002e-06, | |
| "loss": 5.8787, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.2482893450635386, | |
| "eval_loss": 5.664583683013916, | |
| "eval_runtime": 3.5432, | |
| "eval_samples_per_second": 0.282, | |
| "eval_steps_per_second": 0.282, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 9.3e-06, | |
| "loss": 5.7996, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.24926686217008798, | |
| "eval_loss": 5.590141296386719, | |
| "eval_runtime": 3.2321, | |
| "eval_samples_per_second": 0.309, | |
| "eval_steps_per_second": 0.309, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 9.250000000000001e-06, | |
| "loss": 5.7312, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.25317693059628543, | |
| "eval_loss": 5.521559238433838, | |
| "eval_runtime": 3.5703, | |
| "eval_samples_per_second": 0.28, | |
| "eval_steps_per_second": 0.28, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 9.200000000000002e-06, | |
| "loss": 5.6751, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.2590420332355816, | |
| "eval_loss": 5.469524383544922, | |
| "eval_runtime": 3.5655, | |
| "eval_samples_per_second": 0.28, | |
| "eval_steps_per_second": 0.28, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 9.15e-06, | |
| "loss": 5.6076, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.2619745845552297, | |
| "eval_loss": 5.421563148498535, | |
| "eval_runtime": 3.4299, | |
| "eval_samples_per_second": 0.292, | |
| "eval_steps_per_second": 0.292, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 9.100000000000001e-06, | |
| "loss": 5.569, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.2619745845552297, | |
| "eval_loss": 5.373498916625977, | |
| "eval_runtime": 3.4799, | |
| "eval_samples_per_second": 0.287, | |
| "eval_steps_per_second": 0.287, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 9.050000000000001e-06, | |
| "loss": 5.5037, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.26295210166177907, | |
| "eval_loss": 5.327227592468262, | |
| "eval_runtime": 3.5293, | |
| "eval_samples_per_second": 0.283, | |
| "eval_steps_per_second": 0.283, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 9e-06, | |
| "loss": 5.4681, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.2697947214076246, | |
| "eval_loss": 5.285594463348389, | |
| "eval_runtime": 3.6414, | |
| "eval_samples_per_second": 0.275, | |
| "eval_steps_per_second": 0.275, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 8.95e-06, | |
| "loss": 5.4225, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy": 0.27174975562072334, | |
| "eval_loss": 5.255927085876465, | |
| "eval_runtime": 3.6672, | |
| "eval_samples_per_second": 0.273, | |
| "eval_steps_per_second": 0.273, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 8.900000000000001e-06, | |
| "loss": 5.3805, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.27663734115347016, | |
| "eval_loss": 5.212594509124756, | |
| "eval_runtime": 3.547, | |
| "eval_samples_per_second": 0.282, | |
| "eval_steps_per_second": 0.282, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 8.85e-06, | |
| "loss": 5.3527, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy": 0.2756598240469208, | |
| "eval_loss": 5.1883745193481445, | |
| "eval_runtime": 3.3405, | |
| "eval_samples_per_second": 0.299, | |
| "eval_steps_per_second": 0.299, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 8.8e-06, | |
| "loss": 5.3033, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.27956989247311825, | |
| "eval_loss": 5.153918266296387, | |
| "eval_runtime": 3.6205, | |
| "eval_samples_per_second": 0.276, | |
| "eval_steps_per_second": 0.276, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 8.750000000000001e-06, | |
| "loss": 5.2635, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 0.2854349951124145, | |
| "eval_loss": 5.111028671264648, | |
| "eval_runtime": 3.658, | |
| "eval_samples_per_second": 0.273, | |
| "eval_steps_per_second": 0.273, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "learning_rate": 8.700000000000001e-06, | |
| "loss": 5.2411, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.2854349951124145, | |
| "eval_loss": 5.0881805419921875, | |
| "eval_runtime": 3.5731, | |
| "eval_samples_per_second": 0.28, | |
| "eval_steps_per_second": 0.28, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "learning_rate": 8.65e-06, | |
| "loss": 5.1972, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy": 0.2903225806451613, | |
| "eval_loss": 5.057516098022461, | |
| "eval_runtime": 3.6003, | |
| "eval_samples_per_second": 0.278, | |
| "eval_steps_per_second": 0.278, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "learning_rate": 8.6e-06, | |
| "loss": 5.163, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.2913000977517107, | |
| "eval_loss": 5.029298782348633, | |
| "eval_runtime": 3.5678, | |
| "eval_samples_per_second": 0.28, | |
| "eval_steps_per_second": 0.28, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "learning_rate": 8.550000000000001e-06, | |
| "loss": 5.1273, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy": 0.2903225806451613, | |
| "eval_loss": 5.00468111038208, | |
| "eval_runtime": 3.5535, | |
| "eval_samples_per_second": 0.281, | |
| "eval_steps_per_second": 0.281, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 8.5e-06, | |
| "loss": 5.1032, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.29521016617790813, | |
| "eval_loss": 4.981687545776367, | |
| "eval_runtime": 3.5476, | |
| "eval_samples_per_second": 0.282, | |
| "eval_steps_per_second": 0.282, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "learning_rate": 8.45e-06, | |
| "loss": 5.0726, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy": 0.29521016617790813, | |
| "eval_loss": 4.958263874053955, | |
| "eval_runtime": 3.574, | |
| "eval_samples_per_second": 0.28, | |
| "eval_steps_per_second": 0.28, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "learning_rate": 8.400000000000001e-06, | |
| "loss": 5.0405, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.29521016617790813, | |
| "eval_loss": 4.9354777336120605, | |
| "eval_runtime": 3.2861, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "learning_rate": 8.35e-06, | |
| "loss": 5.007, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy": 0.29521016617790813, | |
| "eval_loss": 4.918440818786621, | |
| "eval_runtime": 3.5379, | |
| "eval_samples_per_second": 0.283, | |
| "eval_steps_per_second": 0.283, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "learning_rate": 8.3e-06, | |
| "loss": 4.9897, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.29716520039100686, | |
| "eval_loss": 4.891113758087158, | |
| "eval_runtime": 3.2282, | |
| "eval_samples_per_second": 0.31, | |
| "eval_steps_per_second": 0.31, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 8.25e-06, | |
| "loss": 4.9416, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 0.29716520039100686, | |
| "eval_loss": 4.862751483917236, | |
| "eval_runtime": 3.5473, | |
| "eval_samples_per_second": 0.282, | |
| "eval_steps_per_second": 0.282, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "learning_rate": 8.2e-06, | |
| "loss": 4.9245, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.2981427174975562, | |
| "eval_loss": 4.849916934967041, | |
| "eval_runtime": 3.5627, | |
| "eval_samples_per_second": 0.281, | |
| "eval_steps_per_second": 0.281, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "learning_rate": 8.15e-06, | |
| "loss": 4.901, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy": 0.30303030303030304, | |
| "eval_loss": 4.826337814331055, | |
| "eval_runtime": 3.475, | |
| "eval_samples_per_second": 0.288, | |
| "eval_steps_per_second": 0.288, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "learning_rate": 8.1e-06, | |
| "loss": 4.8713, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.30303030303030304, | |
| "eval_loss": 4.803491115570068, | |
| "eval_runtime": 3.4779, | |
| "eval_samples_per_second": 0.288, | |
| "eval_steps_per_second": 0.288, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "learning_rate": 8.050000000000001e-06, | |
| "loss": 4.845, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy": 0.30596285434995113, | |
| "eval_loss": 4.7873663902282715, | |
| "eval_runtime": 3.3398, | |
| "eval_samples_per_second": 0.299, | |
| "eval_steps_per_second": 0.299, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 4.8052, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.3040078201368524, | |
| "eval_loss": 4.753478527069092, | |
| "eval_runtime": 3.1758, | |
| "eval_samples_per_second": 0.315, | |
| "eval_steps_per_second": 0.315, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "learning_rate": 7.950000000000002e-06, | |
| "loss": 4.7786, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy": 0.30596285434995113, | |
| "eval_loss": 4.731250762939453, | |
| "eval_runtime": 3.2392, | |
| "eval_samples_per_second": 0.309, | |
| "eval_steps_per_second": 0.309, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "learning_rate": 7.9e-06, | |
| "loss": 4.7501, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.3088954056695992, | |
| "eval_loss": 4.717497825622559, | |
| "eval_runtime": 3.5586, | |
| "eval_samples_per_second": 0.281, | |
| "eval_steps_per_second": 0.281, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "learning_rate": 7.850000000000001e-06, | |
| "loss": 4.7221, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy": 0.3118279569892473, | |
| "eval_loss": 4.697778701782227, | |
| "eval_runtime": 3.4899, | |
| "eval_samples_per_second": 0.287, | |
| "eval_steps_per_second": 0.287, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "learning_rate": 7.800000000000002e-06, | |
| "loss": 4.7038, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.31085043988269795, | |
| "eval_loss": 4.678452014923096, | |
| "eval_runtime": 3.2849, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 7.75e-06, | |
| "loss": 4.681, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 0.3128054740957967, | |
| "eval_loss": 4.666133403778076, | |
| "eval_runtime": 3.4251, | |
| "eval_samples_per_second": 0.292, | |
| "eval_steps_per_second": 0.292, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "learning_rate": 7.7e-06, | |
| "loss": 4.6566, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.31573802541544477, | |
| "eval_loss": 4.653237342834473, | |
| "eval_runtime": 3.1995, | |
| "eval_samples_per_second": 0.313, | |
| "eval_steps_per_second": 0.313, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "learning_rate": 7.650000000000001e-06, | |
| "loss": 4.632, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy": 0.31573802541544477, | |
| "eval_loss": 4.636072635650635, | |
| "eval_runtime": 3.5333, | |
| "eval_samples_per_second": 0.283, | |
| "eval_steps_per_second": 0.283, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "learning_rate": 7.600000000000001e-06, | |
| "loss": 4.618, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.3196480938416422, | |
| "eval_loss": 4.6162004470825195, | |
| "eval_runtime": 3.2635, | |
| "eval_samples_per_second": 0.306, | |
| "eval_steps_per_second": 0.306, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "learning_rate": 7.5500000000000006e-06, | |
| "loss": 4.5928, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy": 0.32453567937438904, | |
| "eval_loss": 4.598696708679199, | |
| "eval_runtime": 3.5544, | |
| "eval_samples_per_second": 0.281, | |
| "eval_steps_per_second": 0.281, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 7.500000000000001e-06, | |
| "loss": 4.5716, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.32160312805474095, | |
| "eval_loss": 4.584750175476074, | |
| "eval_runtime": 3.2866, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "learning_rate": 7.450000000000001e-06, | |
| "loss": 4.5485, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy": 0.32453567937438904, | |
| "eval_loss": 4.572133541107178, | |
| "eval_runtime": 4.8161, | |
| "eval_samples_per_second": 0.208, | |
| "eval_steps_per_second": 0.208, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "learning_rate": 7.4e-06, | |
| "loss": 4.5324, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.3196480938416422, | |
| "eval_loss": 4.557907581329346, | |
| "eval_runtime": 3.1695, | |
| "eval_samples_per_second": 0.316, | |
| "eval_steps_per_second": 0.316, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "learning_rate": 7.350000000000001e-06, | |
| "loss": 4.5038, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy": 0.3196480938416422, | |
| "eval_loss": 4.542334079742432, | |
| "eval_runtime": 3.3713, | |
| "eval_samples_per_second": 0.297, | |
| "eval_steps_per_second": 0.297, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "learning_rate": 7.3e-06, | |
| "loss": 4.4831, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.32649071358748777, | |
| "eval_loss": 4.524044036865234, | |
| "eval_runtime": 3.1022, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "learning_rate": 7.25e-06, | |
| "loss": 4.4347, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy": 0.3255131964809384, | |
| "eval_loss": 4.508722305297852, | |
| "eval_runtime": 3.0991, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "learning_rate": 7.2000000000000005e-06, | |
| "loss": 4.4218, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.3255131964809384, | |
| "eval_loss": 4.484982013702393, | |
| "eval_runtime": 3.3635, | |
| "eval_samples_per_second": 0.297, | |
| "eval_steps_per_second": 0.297, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "learning_rate": 7.15e-06, | |
| "loss": 4.3939, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy": 0.32746823069403713, | |
| "eval_loss": 4.479069709777832, | |
| "eval_runtime": 3.1386, | |
| "eval_samples_per_second": 0.319, | |
| "eval_steps_per_second": 0.319, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "learning_rate": 7.100000000000001e-06, | |
| "loss": 4.3766, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.32649071358748777, | |
| "eval_loss": 4.463999271392822, | |
| "eval_runtime": 3.2574, | |
| "eval_samples_per_second": 0.307, | |
| "eval_steps_per_second": 0.307, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "learning_rate": 7.05e-06, | |
| "loss": 4.3472, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 59.0, | |
| "eval_accuracy": 0.32746823069403713, | |
| "eval_loss": 4.4470648765563965, | |
| "eval_runtime": 3.1788, | |
| "eval_samples_per_second": 0.315, | |
| "eval_steps_per_second": 0.315, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "learning_rate": 7e-06, | |
| "loss": 4.3241, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.32746823069403713, | |
| "eval_loss": 4.433444499969482, | |
| "eval_runtime": 3.1305, | |
| "eval_samples_per_second": 0.319, | |
| "eval_steps_per_second": 0.319, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "learning_rate": 6.95e-06, | |
| "loss": 4.2919, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 61.0, | |
| "eval_accuracy": 0.3304007820136852, | |
| "eval_loss": 4.42958927154541, | |
| "eval_runtime": 3.1351, | |
| "eval_samples_per_second": 0.319, | |
| "eval_steps_per_second": 0.319, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "learning_rate": 6.9e-06, | |
| "loss": 4.2678, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.3343108504398827, | |
| "eval_loss": 4.428121566772461, | |
| "eval_runtime": 3.0787, | |
| "eval_samples_per_second": 0.325, | |
| "eval_steps_per_second": 0.325, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "learning_rate": 6.850000000000001e-06, | |
| "loss": 4.2515, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 63.0, | |
| "eval_accuracy": 0.33724340175953077, | |
| "eval_loss": 4.412038803100586, | |
| "eval_runtime": 3.3246, | |
| "eval_samples_per_second": 0.301, | |
| "eval_steps_per_second": 0.301, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "learning_rate": 6.800000000000001e-06, | |
| "loss": 4.2244, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.3343108504398827, | |
| "eval_loss": 4.403759002685547, | |
| "eval_runtime": 3.1858, | |
| "eval_samples_per_second": 0.314, | |
| "eval_steps_per_second": 0.314, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "learning_rate": 6.750000000000001e-06, | |
| "loss": 4.2129, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 65.0, | |
| "eval_accuracy": 0.3391984359726295, | |
| "eval_loss": 4.382594585418701, | |
| "eval_runtime": 3.1111, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "learning_rate": 6.700000000000001e-06, | |
| "loss": 4.1882, | |
| "step": 396 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.33724340175953077, | |
| "eval_loss": 4.383427143096924, | |
| "eval_runtime": 3.2114, | |
| "eval_samples_per_second": 0.311, | |
| "eval_steps_per_second": 0.311, | |
| "step": 396 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "learning_rate": 6.650000000000001e-06, | |
| "loss": 4.1503, | |
| "step": 402 | |
| }, | |
| { | |
| "epoch": 67.0, | |
| "eval_accuracy": 0.33724340175953077, | |
| "eval_loss": 4.37380838394165, | |
| "eval_runtime": 3.1592, | |
| "eval_samples_per_second": 0.317, | |
| "eval_steps_per_second": 0.317, | |
| "step": 402 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "learning_rate": 6.600000000000001e-06, | |
| "loss": 4.1398, | |
| "step": 408 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.33724340175953077, | |
| "eval_loss": 4.359556674957275, | |
| "eval_runtime": 3.2732, | |
| "eval_samples_per_second": 0.306, | |
| "eval_steps_per_second": 0.306, | |
| "step": 408 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "learning_rate": 6.550000000000001e-06, | |
| "loss": 4.115, | |
| "step": 414 | |
| }, | |
| { | |
| "epoch": 69.0, | |
| "eval_accuracy": 0.3411534701857282, | |
| "eval_loss": 4.337615966796875, | |
| "eval_runtime": 3.5266, | |
| "eval_samples_per_second": 0.284, | |
| "eval_steps_per_second": 0.284, | |
| "step": 414 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "learning_rate": 6.5000000000000004e-06, | |
| "loss": 4.1052, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.3411534701857282, | |
| "eval_loss": 4.333048343658447, | |
| "eval_runtime": 3.1824, | |
| "eval_samples_per_second": 0.314, | |
| "eval_steps_per_second": 0.314, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "learning_rate": 6.450000000000001e-06, | |
| "loss": 4.0932, | |
| "step": 426 | |
| }, | |
| { | |
| "epoch": 71.0, | |
| "eval_accuracy": 0.3411534701857282, | |
| "eval_loss": 4.329537391662598, | |
| "eval_runtime": 3.1403, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 426 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "learning_rate": 6.4000000000000006e-06, | |
| "loss": 4.0573, | |
| "step": 432 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.3411534701857282, | |
| "eval_loss": 4.311087131500244, | |
| "eval_runtime": 3.3734, | |
| "eval_samples_per_second": 0.296, | |
| "eval_steps_per_second": 0.296, | |
| "step": 432 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "learning_rate": 6.35e-06, | |
| "loss": 4.0449, | |
| "step": 438 | |
| }, | |
| { | |
| "epoch": 73.0, | |
| "eval_accuracy": 0.34408602150537637, | |
| "eval_loss": 4.304787635803223, | |
| "eval_runtime": 3.3551, | |
| "eval_samples_per_second": 0.298, | |
| "eval_steps_per_second": 0.298, | |
| "step": 438 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "learning_rate": 6.300000000000001e-06, | |
| "loss": 4.0165, | |
| "step": 444 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.3460410557184751, | |
| "eval_loss": 4.293551445007324, | |
| "eval_runtime": 3.1253, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 444 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "learning_rate": 6.25e-06, | |
| "loss": 3.9936, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 75.0, | |
| "eval_accuracy": 0.3509286412512219, | |
| "eval_loss": 4.281482696533203, | |
| "eval_runtime": 3.2326, | |
| "eval_samples_per_second": 0.309, | |
| "eval_steps_per_second": 0.309, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "learning_rate": 6.200000000000001e-06, | |
| "loss": 3.967, | |
| "step": 456 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.35386119257087, | |
| "eval_loss": 4.268586158752441, | |
| "eval_runtime": 3.1926, | |
| "eval_samples_per_second": 0.313, | |
| "eval_steps_per_second": 0.313, | |
| "step": 456 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "learning_rate": 6.15e-06, | |
| "loss": 3.9524, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 77.0, | |
| "eval_accuracy": 0.3509286412512219, | |
| "eval_loss": 4.269726276397705, | |
| "eval_runtime": 3.0654, | |
| "eval_samples_per_second": 0.326, | |
| "eval_steps_per_second": 0.326, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "learning_rate": 6.1e-06, | |
| "loss": 3.9287, | |
| "step": 468 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.35288367546432065, | |
| "eval_loss": 4.254611015319824, | |
| "eval_runtime": 3.2483, | |
| "eval_samples_per_second": 0.308, | |
| "eval_steps_per_second": 0.308, | |
| "step": 468 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "learning_rate": 6.0500000000000005e-06, | |
| "loss": 3.9092, | |
| "step": 474 | |
| }, | |
| { | |
| "epoch": 79.0, | |
| "eval_accuracy": 0.35386119257087, | |
| "eval_loss": 4.248389720916748, | |
| "eval_runtime": 3.279, | |
| "eval_samples_per_second": 0.305, | |
| "eval_steps_per_second": 0.305, | |
| "step": 474 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "learning_rate": 6e-06, | |
| "loss": 3.8907, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.35386119257087, | |
| "eval_loss": 4.242007255554199, | |
| "eval_runtime": 3.1903, | |
| "eval_samples_per_second": 0.313, | |
| "eval_steps_per_second": 0.313, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "learning_rate": 5.950000000000001e-06, | |
| "loss": 3.8704, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 81.0, | |
| "eval_accuracy": 0.35288367546432065, | |
| "eval_loss": 4.241766929626465, | |
| "eval_runtime": 3.0667, | |
| "eval_samples_per_second": 0.326, | |
| "eval_steps_per_second": 0.326, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "learning_rate": 5.9e-06, | |
| "loss": 3.8499, | |
| "step": 492 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "eval_accuracy": 0.3548387096774194, | |
| "eval_loss": 4.226541519165039, | |
| "eval_runtime": 3.1032, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 492 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "learning_rate": 5.85e-06, | |
| "loss": 3.8325, | |
| "step": 498 | |
| }, | |
| { | |
| "epoch": 83.0, | |
| "eval_accuracy": 0.3548387096774194, | |
| "eval_loss": 4.208946704864502, | |
| "eval_runtime": 3.0764, | |
| "eval_samples_per_second": 0.325, | |
| "eval_steps_per_second": 0.325, | |
| "step": 498 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "learning_rate": 5.8e-06, | |
| "loss": 3.8024, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "eval_accuracy": 0.3567937438905181, | |
| "eval_loss": 4.205758094787598, | |
| "eval_runtime": 3.0957, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "learning_rate": 5.75e-06, | |
| "loss": 3.8058, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 85.0, | |
| "eval_accuracy": 0.35581622678396874, | |
| "eval_loss": 4.203883647918701, | |
| "eval_runtime": 3.1095, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "learning_rate": 5.7e-06, | |
| "loss": 3.7888, | |
| "step": 516 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "eval_accuracy": 0.35777126099706746, | |
| "eval_loss": 4.190591335296631, | |
| "eval_runtime": 3.1, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 516 | |
| }, | |
| { | |
| "epoch": 87.0, | |
| "learning_rate": 5.65e-06, | |
| "loss": 3.7622, | |
| "step": 522 | |
| }, | |
| { | |
| "epoch": 87.0, | |
| "eval_accuracy": 0.3616813294232649, | |
| "eval_loss": 4.179159164428711, | |
| "eval_runtime": 3.1107, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 522 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "learning_rate": 5.600000000000001e-06, | |
| "loss": 3.746, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "eval_accuracy": 0.35777126099706746, | |
| "eval_loss": 4.18191385269165, | |
| "eval_runtime": 3.1176, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 89.0, | |
| "learning_rate": 5.550000000000001e-06, | |
| "loss": 3.7196, | |
| "step": 534 | |
| }, | |
| { | |
| "epoch": 89.0, | |
| "eval_accuracy": 0.3597262952101662, | |
| "eval_loss": 4.178895473480225, | |
| "eval_runtime": 3.3763, | |
| "eval_samples_per_second": 0.296, | |
| "eval_steps_per_second": 0.296, | |
| "step": 534 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "learning_rate": 5.500000000000001e-06, | |
| "loss": 3.7046, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "eval_accuracy": 0.36070381231671556, | |
| "eval_loss": 4.160989284515381, | |
| "eval_runtime": 3.3055, | |
| "eval_samples_per_second": 0.303, | |
| "eval_steps_per_second": 0.303, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 91.0, | |
| "learning_rate": 5.450000000000001e-06, | |
| "loss": 3.7078, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 91.0, | |
| "eval_accuracy": 0.36070381231671556, | |
| "eval_loss": 4.151462078094482, | |
| "eval_runtime": 3.0842, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "learning_rate": 5.400000000000001e-06, | |
| "loss": 3.6687, | |
| "step": 552 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "eval_accuracy": 0.36070381231671556, | |
| "eval_loss": 4.17518424987793, | |
| "eval_runtime": 3.097, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 552 | |
| }, | |
| { | |
| "epoch": 93.0, | |
| "learning_rate": 5.3500000000000004e-06, | |
| "loss": 3.6559, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 93.0, | |
| "eval_accuracy": 0.36363636363636365, | |
| "eval_loss": 4.128724575042725, | |
| "eval_runtime": 3.2229, | |
| "eval_samples_per_second": 0.31, | |
| "eval_steps_per_second": 0.31, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "learning_rate": 5.300000000000001e-06, | |
| "loss": 3.6401, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "eval_accuracy": 0.364613880742913, | |
| "eval_loss": 4.156914234161377, | |
| "eval_runtime": 3.0553, | |
| "eval_samples_per_second": 0.327, | |
| "eval_steps_per_second": 0.327, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "learning_rate": 5.2500000000000006e-06, | |
| "loss": 3.6281, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 95.0, | |
| "eval_accuracy": 0.3626588465298143, | |
| "eval_loss": 4.123438358306885, | |
| "eval_runtime": 3.127, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "learning_rate": 5.2e-06, | |
| "loss": 3.5978, | |
| "step": 576 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.36950146627565983, | |
| "eval_loss": 4.1269941329956055, | |
| "eval_runtime": 3.0893, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 576 | |
| }, | |
| { | |
| "epoch": 97.0, | |
| "learning_rate": 5.150000000000001e-06, | |
| "loss": 3.5951, | |
| "step": 582 | |
| }, | |
| { | |
| "epoch": 97.0, | |
| "eval_accuracy": 0.364613880742913, | |
| "eval_loss": 4.118751049041748, | |
| "eval_runtime": 3.148, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 582 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "learning_rate": 5.1e-06, | |
| "loss": 3.5679, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "eval_accuracy": 0.36852394916911047, | |
| "eval_loss": 4.128164291381836, | |
| "eval_runtime": 3.0607, | |
| "eval_samples_per_second": 0.327, | |
| "eval_steps_per_second": 0.327, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 99.0, | |
| "learning_rate": 5.050000000000001e-06, | |
| "loss": 3.5618, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 99.0, | |
| "eval_accuracy": 0.364613880742913, | |
| "eval_loss": 4.1089253425598145, | |
| "eval_runtime": 3.0857, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 5e-06, | |
| "loss": 3.5404, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_accuracy": 0.36950146627565983, | |
| "eval_loss": 4.1090216636657715, | |
| "eval_runtime": 3.1735, | |
| "eval_samples_per_second": 0.315, | |
| "eval_steps_per_second": 0.315, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 101.0, | |
| "learning_rate": 4.95e-06, | |
| "loss": 3.5255, | |
| "step": 606 | |
| }, | |
| { | |
| "epoch": 101.0, | |
| "eval_accuracy": 0.364613880742913, | |
| "eval_loss": 4.103869915008545, | |
| "eval_runtime": 3.1307, | |
| "eval_samples_per_second": 0.319, | |
| "eval_steps_per_second": 0.319, | |
| "step": 606 | |
| }, | |
| { | |
| "epoch": 102.0, | |
| "learning_rate": 4.9000000000000005e-06, | |
| "loss": 3.5111, | |
| "step": 612 | |
| }, | |
| { | |
| "epoch": 102.0, | |
| "eval_accuracy": 0.36950146627565983, | |
| "eval_loss": 4.100970268249512, | |
| "eval_runtime": 3.116, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 612 | |
| }, | |
| { | |
| "epoch": 103.0, | |
| "learning_rate": 4.85e-06, | |
| "loss": 3.5015, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 103.0, | |
| "eval_accuracy": 0.3704789833822092, | |
| "eval_loss": 4.088879585266113, | |
| "eval_runtime": 3.3403, | |
| "eval_samples_per_second": 0.299, | |
| "eval_steps_per_second": 0.299, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 104.0, | |
| "learning_rate": 4.800000000000001e-06, | |
| "loss": 3.493, | |
| "step": 624 | |
| }, | |
| { | |
| "epoch": 104.0, | |
| "eval_accuracy": 0.3704789833822092, | |
| "eval_loss": 4.082551956176758, | |
| "eval_runtime": 3.3467, | |
| "eval_samples_per_second": 0.299, | |
| "eval_steps_per_second": 0.299, | |
| "step": 624 | |
| }, | |
| { | |
| "epoch": 105.0, | |
| "learning_rate": 4.75e-06, | |
| "loss": 3.5643, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 105.0, | |
| "eval_accuracy": 0.375366568914956, | |
| "eval_loss": 4.091529846191406, | |
| "eval_runtime": 3.5246, | |
| "eval_samples_per_second": 0.284, | |
| "eval_steps_per_second": 0.284, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 106.0, | |
| "learning_rate": 4.7e-06, | |
| "loss": 3.4543, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 106.0, | |
| "eval_accuracy": 0.3724340175953079, | |
| "eval_loss": 4.091198921203613, | |
| "eval_runtime": 3.1421, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 107.0, | |
| "learning_rate": 4.65e-06, | |
| "loss": 3.4517, | |
| "step": 642 | |
| }, | |
| { | |
| "epoch": 107.0, | |
| "eval_accuracy": 0.375366568914956, | |
| "eval_loss": 4.084360599517822, | |
| "eval_runtime": 3.5262, | |
| "eval_samples_per_second": 0.284, | |
| "eval_steps_per_second": 0.284, | |
| "step": 642 | |
| }, | |
| { | |
| "epoch": 108.0, | |
| "learning_rate": 4.600000000000001e-06, | |
| "loss": 3.4387, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 108.0, | |
| "eval_accuracy": 0.375366568914956, | |
| "eval_loss": 4.066359996795654, | |
| "eval_runtime": 3.1772, | |
| "eval_samples_per_second": 0.315, | |
| "eval_steps_per_second": 0.315, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 109.0, | |
| "learning_rate": 4.5500000000000005e-06, | |
| "loss": 3.4274, | |
| "step": 654 | |
| }, | |
| { | |
| "epoch": 109.0, | |
| "eval_accuracy": 0.3763440860215054, | |
| "eval_loss": 4.088470458984375, | |
| "eval_runtime": 3.106, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 654 | |
| }, | |
| { | |
| "epoch": 110.0, | |
| "learning_rate": 4.5e-06, | |
| "loss": 3.4241, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 110.0, | |
| "eval_accuracy": 0.37927663734115347, | |
| "eval_loss": 4.058298587799072, | |
| "eval_runtime": 3.0985, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 111.0, | |
| "learning_rate": 4.450000000000001e-06, | |
| "loss": 3.4016, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 111.0, | |
| "eval_accuracy": 0.38025415444770283, | |
| "eval_loss": 4.0626630783081055, | |
| "eval_runtime": 3.5144, | |
| "eval_samples_per_second": 0.285, | |
| "eval_steps_per_second": 0.285, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "learning_rate": 4.4e-06, | |
| "loss": 3.383, | |
| "step": 672 | |
| }, | |
| { | |
| "epoch": 112.0, | |
| "eval_accuracy": 0.3812316715542522, | |
| "eval_loss": 4.062616348266602, | |
| "eval_runtime": 3.2502, | |
| "eval_samples_per_second": 0.308, | |
| "eval_steps_per_second": 0.308, | |
| "step": 672 | |
| }, | |
| { | |
| "epoch": 113.0, | |
| "learning_rate": 4.350000000000001e-06, | |
| "loss": 3.3709, | |
| "step": 678 | |
| }, | |
| { | |
| "epoch": 113.0, | |
| "eval_accuracy": 0.3870967741935484, | |
| "eval_loss": 4.0414323806762695, | |
| "eval_runtime": 3.4468, | |
| "eval_samples_per_second": 0.29, | |
| "eval_steps_per_second": 0.29, | |
| "step": 678 | |
| }, | |
| { | |
| "epoch": 114.0, | |
| "learning_rate": 4.3e-06, | |
| "loss": 3.3646, | |
| "step": 684 | |
| }, | |
| { | |
| "epoch": 114.0, | |
| "eval_accuracy": 0.38220918866080156, | |
| "eval_loss": 4.0561604499816895, | |
| "eval_runtime": 3.0962, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 684 | |
| }, | |
| { | |
| "epoch": 115.0, | |
| "learning_rate": 4.25e-06, | |
| "loss": 3.3456, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 115.0, | |
| "eval_accuracy": 0.386119257086999, | |
| "eval_loss": 4.036128044128418, | |
| "eval_runtime": 3.3227, | |
| "eval_samples_per_second": 0.301, | |
| "eval_steps_per_second": 0.301, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 116.0, | |
| "learning_rate": 4.2000000000000004e-06, | |
| "loss": 3.3369, | |
| "step": 696 | |
| }, | |
| { | |
| "epoch": 116.0, | |
| "eval_accuracy": 0.38514173998044965, | |
| "eval_loss": 4.052359104156494, | |
| "eval_runtime": 3.0856, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 696 | |
| }, | |
| { | |
| "epoch": 117.0, | |
| "learning_rate": 4.15e-06, | |
| "loss": 3.3136, | |
| "step": 702 | |
| }, | |
| { | |
| "epoch": 117.0, | |
| "eval_accuracy": 0.3841642228739003, | |
| "eval_loss": 4.042443752288818, | |
| "eval_runtime": 3.358, | |
| "eval_samples_per_second": 0.298, | |
| "eval_steps_per_second": 0.298, | |
| "step": 702 | |
| }, | |
| { | |
| "epoch": 118.0, | |
| "learning_rate": 4.1e-06, | |
| "loss": 3.307, | |
| "step": 708 | |
| }, | |
| { | |
| "epoch": 118.0, | |
| "eval_accuracy": 0.386119257086999, | |
| "eval_loss": 4.047730922698975, | |
| "eval_runtime": 3.2939, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 708 | |
| }, | |
| { | |
| "epoch": 119.0, | |
| "learning_rate": 4.05e-06, | |
| "loss": 3.2954, | |
| "step": 714 | |
| }, | |
| { | |
| "epoch": 119.0, | |
| "eval_accuracy": 0.38514173998044965, | |
| "eval_loss": 4.028741359710693, | |
| "eval_runtime": 3.1849, | |
| "eval_samples_per_second": 0.314, | |
| "eval_steps_per_second": 0.314, | |
| "step": 714 | |
| }, | |
| { | |
| "epoch": 120.0, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 3.2887, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 120.0, | |
| "eval_accuracy": 0.39002932551319647, | |
| "eval_loss": 4.0391716957092285, | |
| "eval_runtime": 3.373, | |
| "eval_samples_per_second": 0.296, | |
| "eval_steps_per_second": 0.296, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 121.0, | |
| "learning_rate": 3.95e-06, | |
| "loss": 3.2776, | |
| "step": 726 | |
| }, | |
| { | |
| "epoch": 121.0, | |
| "eval_accuracy": 0.39100684261974583, | |
| "eval_loss": 4.019059658050537, | |
| "eval_runtime": 3.0671, | |
| "eval_samples_per_second": 0.326, | |
| "eval_steps_per_second": 0.326, | |
| "step": 726 | |
| }, | |
| { | |
| "epoch": 122.0, | |
| "learning_rate": 3.900000000000001e-06, | |
| "loss": 3.2527, | |
| "step": 732 | |
| }, | |
| { | |
| "epoch": 122.0, | |
| "eval_accuracy": 0.39100684261974583, | |
| "eval_loss": 4.03394889831543, | |
| "eval_runtime": 3.608, | |
| "eval_samples_per_second": 0.277, | |
| "eval_steps_per_second": 0.277, | |
| "step": 732 | |
| }, | |
| { | |
| "epoch": 123.0, | |
| "learning_rate": 3.85e-06, | |
| "loss": 3.259, | |
| "step": 738 | |
| }, | |
| { | |
| "epoch": 123.0, | |
| "eval_accuracy": 0.39296187683284456, | |
| "eval_loss": 4.006428241729736, | |
| "eval_runtime": 3.37, | |
| "eval_samples_per_second": 0.297, | |
| "eval_steps_per_second": 0.297, | |
| "step": 738 | |
| }, | |
| { | |
| "epoch": 124.0, | |
| "learning_rate": 3.8000000000000005e-06, | |
| "loss": 3.2559, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 124.0, | |
| "eval_accuracy": 0.38807429130009774, | |
| "eval_loss": 4.028494834899902, | |
| "eval_runtime": 3.4043, | |
| "eval_samples_per_second": 0.294, | |
| "eval_steps_per_second": 0.294, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 125.0, | |
| "learning_rate": 3.7500000000000005e-06, | |
| "loss": 3.2335, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 125.0, | |
| "eval_accuracy": 0.39296187683284456, | |
| "eval_loss": 4.015052795410156, | |
| "eval_runtime": 3.1425, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 126.0, | |
| "learning_rate": 3.7e-06, | |
| "loss": 3.2318, | |
| "step": 756 | |
| }, | |
| { | |
| "epoch": 126.0, | |
| "eval_accuracy": 0.39002932551319647, | |
| "eval_loss": 4.027667999267578, | |
| "eval_runtime": 3.3897, | |
| "eval_samples_per_second": 0.295, | |
| "eval_steps_per_second": 0.295, | |
| "step": 756 | |
| }, | |
| { | |
| "epoch": 127.0, | |
| "learning_rate": 3.65e-06, | |
| "loss": 3.2266, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 127.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.992929697036743, | |
| "eval_runtime": 3.1289, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 128.0, | |
| "learning_rate": 3.6000000000000003e-06, | |
| "loss": 3.2051, | |
| "step": 768 | |
| }, | |
| { | |
| "epoch": 128.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.9944605827331543, | |
| "eval_runtime": 3.5639, | |
| "eval_samples_per_second": 0.281, | |
| "eval_steps_per_second": 0.281, | |
| "step": 768 | |
| }, | |
| { | |
| "epoch": 129.0, | |
| "learning_rate": 3.5500000000000003e-06, | |
| "loss": 3.2009, | |
| "step": 774 | |
| }, | |
| { | |
| "epoch": 129.0, | |
| "eval_accuracy": 0.39296187683284456, | |
| "eval_loss": 4.02908182144165, | |
| "eval_runtime": 3.1278, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 774 | |
| }, | |
| { | |
| "epoch": 130.0, | |
| "learning_rate": 3.5e-06, | |
| "loss": 3.1791, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 130.0, | |
| "eval_accuracy": 0.39296187683284456, | |
| "eval_loss": 3.9955568313598633, | |
| "eval_runtime": 3.1553, | |
| "eval_samples_per_second": 0.317, | |
| "eval_steps_per_second": 0.317, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 131.0, | |
| "learning_rate": 3.45e-06, | |
| "loss": 3.1759, | |
| "step": 786 | |
| }, | |
| { | |
| "epoch": 131.0, | |
| "eval_accuracy": 0.396871945259042, | |
| "eval_loss": 4.001156806945801, | |
| "eval_runtime": 3.1012, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 786 | |
| }, | |
| { | |
| "epoch": 132.0, | |
| "learning_rate": 3.4000000000000005e-06, | |
| "loss": 3.1622, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 132.0, | |
| "eval_accuracy": 0.3949169110459433, | |
| "eval_loss": 4.010651111602783, | |
| "eval_runtime": 3.2622, | |
| "eval_samples_per_second": 0.307, | |
| "eval_steps_per_second": 0.307, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 133.0, | |
| "learning_rate": 3.3500000000000005e-06, | |
| "loss": 3.1559, | |
| "step": 798 | |
| }, | |
| { | |
| "epoch": 133.0, | |
| "eval_accuracy": 0.3939393939393939, | |
| "eval_loss": 4.009001731872559, | |
| "eval_runtime": 3.147, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 798 | |
| }, | |
| { | |
| "epoch": 134.0, | |
| "learning_rate": 3.3000000000000006e-06, | |
| "loss": 3.1521, | |
| "step": 804 | |
| }, | |
| { | |
| "epoch": 134.0, | |
| "eval_accuracy": 0.39100684261974583, | |
| "eval_loss": 4.00282621383667, | |
| "eval_runtime": 3.2649, | |
| "eval_samples_per_second": 0.306, | |
| "eval_steps_per_second": 0.306, | |
| "step": 804 | |
| }, | |
| { | |
| "epoch": 135.0, | |
| "learning_rate": 3.2500000000000002e-06, | |
| "loss": 3.1353, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 135.0, | |
| "eval_accuracy": 0.3939393939393939, | |
| "eval_loss": 4.0033183097839355, | |
| "eval_runtime": 3.0829, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 136.0, | |
| "learning_rate": 3.2000000000000003e-06, | |
| "loss": 3.1427, | |
| "step": 816 | |
| }, | |
| { | |
| "epoch": 136.0, | |
| "eval_accuracy": 0.3939393939393939, | |
| "eval_loss": 3.999516248703003, | |
| "eval_runtime": 3.3725, | |
| "eval_samples_per_second": 0.297, | |
| "eval_steps_per_second": 0.297, | |
| "step": 816 | |
| }, | |
| { | |
| "epoch": 137.0, | |
| "learning_rate": 3.1500000000000003e-06, | |
| "loss": 3.1276, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 137.0, | |
| "eval_accuracy": 0.3919843597262952, | |
| "eval_loss": 3.9962964057922363, | |
| "eval_runtime": 3.3881, | |
| "eval_samples_per_second": 0.295, | |
| "eval_steps_per_second": 0.295, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 138.0, | |
| "learning_rate": 3.1000000000000004e-06, | |
| "loss": 3.1228, | |
| "step": 828 | |
| }, | |
| { | |
| "epoch": 138.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.9996395111083984, | |
| "eval_runtime": 3.1889, | |
| "eval_samples_per_second": 0.314, | |
| "eval_steps_per_second": 0.314, | |
| "step": 828 | |
| }, | |
| { | |
| "epoch": 139.0, | |
| "learning_rate": 3.05e-06, | |
| "loss": 3.1039, | |
| "step": 834 | |
| }, | |
| { | |
| "epoch": 139.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.992779493331909, | |
| "eval_runtime": 3.1905, | |
| "eval_samples_per_second": 0.313, | |
| "eval_steps_per_second": 0.313, | |
| "step": 834 | |
| }, | |
| { | |
| "epoch": 140.0, | |
| "learning_rate": 3e-06, | |
| "loss": 3.097, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 140.0, | |
| "eval_accuracy": 0.396871945259042, | |
| "eval_loss": 3.9969444274902344, | |
| "eval_runtime": 3.2194, | |
| "eval_samples_per_second": 0.311, | |
| "eval_steps_per_second": 0.311, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 141.0, | |
| "learning_rate": 2.95e-06, | |
| "loss": 3.083, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 141.0, | |
| "eval_accuracy": 0.3949169110459433, | |
| "eval_loss": 3.991848945617676, | |
| "eval_runtime": 3.2252, | |
| "eval_samples_per_second": 0.31, | |
| "eval_steps_per_second": 0.31, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 142.0, | |
| "learning_rate": 2.9e-06, | |
| "loss": 3.0844, | |
| "step": 852 | |
| }, | |
| { | |
| "epoch": 142.0, | |
| "eval_accuracy": 0.396871945259042, | |
| "eval_loss": 3.9899985790252686, | |
| "eval_runtime": 3.3224, | |
| "eval_samples_per_second": 0.301, | |
| "eval_steps_per_second": 0.301, | |
| "step": 852 | |
| }, | |
| { | |
| "epoch": 143.0, | |
| "learning_rate": 2.85e-06, | |
| "loss": 3.077, | |
| "step": 858 | |
| }, | |
| { | |
| "epoch": 143.0, | |
| "eval_accuracy": 0.39589442815249265, | |
| "eval_loss": 3.981245756149292, | |
| "eval_runtime": 3.3063, | |
| "eval_samples_per_second": 0.302, | |
| "eval_steps_per_second": 0.302, | |
| "step": 858 | |
| }, | |
| { | |
| "epoch": 144.0, | |
| "learning_rate": 2.8000000000000003e-06, | |
| "loss": 3.0601, | |
| "step": 864 | |
| }, | |
| { | |
| "epoch": 144.0, | |
| "eval_accuracy": 0.39589442815249265, | |
| "eval_loss": 3.9948182106018066, | |
| "eval_runtime": 3.5418, | |
| "eval_samples_per_second": 0.282, | |
| "eval_steps_per_second": 0.282, | |
| "step": 864 | |
| }, | |
| { | |
| "epoch": 145.0, | |
| "learning_rate": 2.7500000000000004e-06, | |
| "loss": 3.0669, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 145.0, | |
| "eval_accuracy": 0.39589442815249265, | |
| "eval_loss": 3.9938085079193115, | |
| "eval_runtime": 3.3604, | |
| "eval_samples_per_second": 0.298, | |
| "eval_steps_per_second": 0.298, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 146.0, | |
| "learning_rate": 2.7000000000000004e-06, | |
| "loss": 3.0515, | |
| "step": 876 | |
| }, | |
| { | |
| "epoch": 146.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.9895379543304443, | |
| "eval_runtime": 3.1997, | |
| "eval_samples_per_second": 0.313, | |
| "eval_steps_per_second": 0.313, | |
| "step": 876 | |
| }, | |
| { | |
| "epoch": 147.0, | |
| "learning_rate": 2.6500000000000005e-06, | |
| "loss": 3.0405, | |
| "step": 882 | |
| }, | |
| { | |
| "epoch": 147.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.9802987575531006, | |
| "eval_runtime": 3.2702, | |
| "eval_samples_per_second": 0.306, | |
| "eval_steps_per_second": 0.306, | |
| "step": 882 | |
| }, | |
| { | |
| "epoch": 148.0, | |
| "learning_rate": 2.6e-06, | |
| "loss": 3.029, | |
| "step": 888 | |
| }, | |
| { | |
| "epoch": 148.0, | |
| "eval_accuracy": 0.396871945259042, | |
| "eval_loss": 3.985629081726074, | |
| "eval_runtime": 3.064, | |
| "eval_samples_per_second": 0.326, | |
| "eval_steps_per_second": 0.326, | |
| "step": 888 | |
| }, | |
| { | |
| "epoch": 149.0, | |
| "learning_rate": 2.55e-06, | |
| "loss": 3.0342, | |
| "step": 894 | |
| }, | |
| { | |
| "epoch": 149.0, | |
| "eval_accuracy": 0.396871945259042, | |
| "eval_loss": 3.982790231704712, | |
| "eval_runtime": 3.2872, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 894 | |
| }, | |
| { | |
| "epoch": 150.0, | |
| "learning_rate": 2.5e-06, | |
| "loss": 3.0137, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 150.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.997673273086548, | |
| "eval_runtime": 3.3166, | |
| "eval_samples_per_second": 0.302, | |
| "eval_steps_per_second": 0.302, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 151.0, | |
| "learning_rate": 2.4500000000000003e-06, | |
| "loss": 3.0277, | |
| "step": 906 | |
| }, | |
| { | |
| "epoch": 151.0, | |
| "eval_accuracy": 0.3998044965786901, | |
| "eval_loss": 3.9793360233306885, | |
| "eval_runtime": 3.1051, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 906 | |
| }, | |
| { | |
| "epoch": 152.0, | |
| "learning_rate": 2.4000000000000003e-06, | |
| "loss": 3.0005, | |
| "step": 912 | |
| }, | |
| { | |
| "epoch": 152.0, | |
| "eval_accuracy": 0.3998044965786901, | |
| "eval_loss": 3.9779205322265625, | |
| "eval_runtime": 3.1637, | |
| "eval_samples_per_second": 0.316, | |
| "eval_steps_per_second": 0.316, | |
| "step": 912 | |
| }, | |
| { | |
| "epoch": 153.0, | |
| "learning_rate": 2.35e-06, | |
| "loss": 3.0027, | |
| "step": 918 | |
| }, | |
| { | |
| "epoch": 153.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.989084482192993, | |
| "eval_runtime": 3.2887, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 918 | |
| }, | |
| { | |
| "epoch": 154.0, | |
| "learning_rate": 2.3000000000000004e-06, | |
| "loss": 3.0034, | |
| "step": 924 | |
| }, | |
| { | |
| "epoch": 154.0, | |
| "eval_accuracy": 0.40078201368523947, | |
| "eval_loss": 3.9687039852142334, | |
| "eval_runtime": 3.2813, | |
| "eval_samples_per_second": 0.305, | |
| "eval_steps_per_second": 0.305, | |
| "step": 924 | |
| }, | |
| { | |
| "epoch": 155.0, | |
| "learning_rate": 2.25e-06, | |
| "loss": 2.9853, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 155.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.988722801208496, | |
| "eval_runtime": 3.4968, | |
| "eval_samples_per_second": 0.286, | |
| "eval_steps_per_second": 0.286, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 156.0, | |
| "learning_rate": 2.2e-06, | |
| "loss": 2.9947, | |
| "step": 936 | |
| }, | |
| { | |
| "epoch": 156.0, | |
| "eval_accuracy": 0.4027370478983382, | |
| "eval_loss": 3.9860475063323975, | |
| "eval_runtime": 3.29, | |
| "eval_samples_per_second": 0.304, | |
| "eval_steps_per_second": 0.304, | |
| "step": 936 | |
| }, | |
| { | |
| "epoch": 157.0, | |
| "learning_rate": 2.15e-06, | |
| "loss": 2.9768, | |
| "step": 942 | |
| }, | |
| { | |
| "epoch": 157.0, | |
| "eval_accuracy": 0.4027370478983382, | |
| "eval_loss": 3.989997148513794, | |
| "eval_runtime": 3.3737, | |
| "eval_samples_per_second": 0.296, | |
| "eval_steps_per_second": 0.296, | |
| "step": 942 | |
| }, | |
| { | |
| "epoch": 158.0, | |
| "learning_rate": 2.1000000000000002e-06, | |
| "loss": 2.9752, | |
| "step": 948 | |
| }, | |
| { | |
| "epoch": 158.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.9992799758911133, | |
| "eval_runtime": 3.3931, | |
| "eval_samples_per_second": 0.295, | |
| "eval_steps_per_second": 0.295, | |
| "step": 948 | |
| }, | |
| { | |
| "epoch": 159.0, | |
| "learning_rate": 2.05e-06, | |
| "loss": 2.9773, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 159.0, | |
| "eval_accuracy": 0.40175953079178883, | |
| "eval_loss": 3.9693987369537354, | |
| "eval_runtime": 3.1141, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 160.0, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 2.9662, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 160.0, | |
| "eval_accuracy": 0.3998044965786901, | |
| "eval_loss": 3.9923715591430664, | |
| "eval_runtime": 3.2181, | |
| "eval_samples_per_second": 0.311, | |
| "eval_steps_per_second": 0.311, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 161.0, | |
| "learning_rate": 1.9500000000000004e-06, | |
| "loss": 2.9661, | |
| "step": 966 | |
| }, | |
| { | |
| "epoch": 161.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 4.008890151977539, | |
| "eval_runtime": 3.1472, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 966 | |
| }, | |
| { | |
| "epoch": 162.0, | |
| "learning_rate": 1.9000000000000002e-06, | |
| "loss": 2.9488, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 162.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.974891424179077, | |
| "eval_runtime": 3.2045, | |
| "eval_samples_per_second": 0.312, | |
| "eval_steps_per_second": 0.312, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 163.0, | |
| "learning_rate": 1.85e-06, | |
| "loss": 2.9487, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 163.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.9931938648223877, | |
| "eval_runtime": 2.9879, | |
| "eval_samples_per_second": 0.335, | |
| "eval_steps_per_second": 0.335, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 164.0, | |
| "learning_rate": 1.8000000000000001e-06, | |
| "loss": 2.9482, | |
| "step": 984 | |
| }, | |
| { | |
| "epoch": 164.0, | |
| "eval_accuracy": 0.39882697947214074, | |
| "eval_loss": 3.998748540878296, | |
| "eval_runtime": 3.0761, | |
| "eval_samples_per_second": 0.325, | |
| "eval_steps_per_second": 0.325, | |
| "step": 984 | |
| }, | |
| { | |
| "epoch": 165.0, | |
| "learning_rate": 1.75e-06, | |
| "loss": 2.9624, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 165.0, | |
| "eval_accuracy": 0.3978494623655914, | |
| "eval_loss": 3.962663412094116, | |
| "eval_runtime": 3.2497, | |
| "eval_samples_per_second": 0.308, | |
| "eval_steps_per_second": 0.308, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 166.0, | |
| "learning_rate": 1.7000000000000002e-06, | |
| "loss": 2.9524, | |
| "step": 996 | |
| }, | |
| { | |
| "epoch": 166.0, | |
| "eval_accuracy": 0.40078201368523947, | |
| "eval_loss": 3.979146957397461, | |
| "eval_runtime": 3.2339, | |
| "eval_samples_per_second": 0.309, | |
| "eval_steps_per_second": 0.309, | |
| "step": 996 | |
| }, | |
| { | |
| "epoch": 167.0, | |
| "learning_rate": 1.6500000000000003e-06, | |
| "loss": 2.9357, | |
| "step": 1002 | |
| }, | |
| { | |
| "epoch": 167.0, | |
| "eval_accuracy": 0.3998044965786901, | |
| "eval_loss": 3.996922731399536, | |
| "eval_runtime": 3.0918, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 1002 | |
| }, | |
| { | |
| "epoch": 168.0, | |
| "learning_rate": 1.6000000000000001e-06, | |
| "loss": 2.9323, | |
| "step": 1008 | |
| }, | |
| { | |
| "epoch": 168.0, | |
| "eval_accuracy": 0.40078201368523947, | |
| "eval_loss": 3.9853515625, | |
| "eval_runtime": 3.2542, | |
| "eval_samples_per_second": 0.307, | |
| "eval_steps_per_second": 0.307, | |
| "step": 1008 | |
| }, | |
| { | |
| "epoch": 169.0, | |
| "learning_rate": 1.5500000000000002e-06, | |
| "loss": 2.9334, | |
| "step": 1014 | |
| }, | |
| { | |
| "epoch": 169.0, | |
| "eval_accuracy": 0.40078201368523947, | |
| "eval_loss": 3.977756977081299, | |
| "eval_runtime": 3.2318, | |
| "eval_samples_per_second": 0.309, | |
| "eval_steps_per_second": 0.309, | |
| "step": 1014 | |
| }, | |
| { | |
| "epoch": 170.0, | |
| "learning_rate": 1.5e-06, | |
| "loss": 2.9228, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 170.0, | |
| "eval_accuracy": 0.4027370478983382, | |
| "eval_loss": 3.9858651161193848, | |
| "eval_runtime": 3.1222, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 171.0, | |
| "learning_rate": 1.45e-06, | |
| "loss": 2.9305, | |
| "step": 1026 | |
| }, | |
| { | |
| "epoch": 171.0, | |
| "eval_accuracy": 0.40371456500488756, | |
| "eval_loss": 3.9820897579193115, | |
| "eval_runtime": 3.1725, | |
| "eval_samples_per_second": 0.315, | |
| "eval_steps_per_second": 0.315, | |
| "step": 1026 | |
| }, | |
| { | |
| "epoch": 172.0, | |
| "learning_rate": 1.4000000000000001e-06, | |
| "loss": 2.9239, | |
| "step": 1032 | |
| }, | |
| { | |
| "epoch": 172.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.987579107284546, | |
| "eval_runtime": 3.1039, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 1032 | |
| }, | |
| { | |
| "epoch": 173.0, | |
| "learning_rate": 1.3500000000000002e-06, | |
| "loss": 2.9181, | |
| "step": 1038 | |
| }, | |
| { | |
| "epoch": 173.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9791972637176514, | |
| "eval_runtime": 3.503, | |
| "eval_samples_per_second": 0.285, | |
| "eval_steps_per_second": 0.285, | |
| "step": 1038 | |
| }, | |
| { | |
| "epoch": 174.0, | |
| "learning_rate": 1.3e-06, | |
| "loss": 2.9162, | |
| "step": 1044 | |
| }, | |
| { | |
| "epoch": 174.0, | |
| "eval_accuracy": 0.40371456500488756, | |
| "eval_loss": 3.9731061458587646, | |
| "eval_runtime": 3.0863, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 1044 | |
| }, | |
| { | |
| "epoch": 175.0, | |
| "learning_rate": 1.25e-06, | |
| "loss": 2.9171, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 175.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.9795916080474854, | |
| "eval_runtime": 3.0684, | |
| "eval_samples_per_second": 0.326, | |
| "eval_steps_per_second": 0.326, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 176.0, | |
| "learning_rate": 1.2000000000000002e-06, | |
| "loss": 2.9132, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 176.0, | |
| "eval_accuracy": 0.4046920821114369, | |
| "eval_loss": 3.9914140701293945, | |
| "eval_runtime": 3.5253, | |
| "eval_samples_per_second": 0.284, | |
| "eval_steps_per_second": 0.284, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 177.0, | |
| "learning_rate": 1.1500000000000002e-06, | |
| "loss": 2.9168, | |
| "step": 1062 | |
| }, | |
| { | |
| "epoch": 177.0, | |
| "eval_accuracy": 0.4046920821114369, | |
| "eval_loss": 3.9826488494873047, | |
| "eval_runtime": 3.0836, | |
| "eval_samples_per_second": 0.324, | |
| "eval_steps_per_second": 0.324, | |
| "step": 1062 | |
| }, | |
| { | |
| "epoch": 178.0, | |
| "learning_rate": 1.1e-06, | |
| "loss": 2.8974, | |
| "step": 1068 | |
| }, | |
| { | |
| "epoch": 178.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9753177165985107, | |
| "eval_runtime": 3.165, | |
| "eval_samples_per_second": 0.316, | |
| "eval_steps_per_second": 0.316, | |
| "step": 1068 | |
| }, | |
| { | |
| "epoch": 179.0, | |
| "learning_rate": 1.0500000000000001e-06, | |
| "loss": 2.8954, | |
| "step": 1074 | |
| }, | |
| { | |
| "epoch": 179.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.976564884185791, | |
| "eval_runtime": 3.123, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 1074 | |
| }, | |
| { | |
| "epoch": 180.0, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 2.9003, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 180.0, | |
| "eval_accuracy": 0.4027370478983382, | |
| "eval_loss": 3.986520290374756, | |
| "eval_runtime": 3.106, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 1080 | |
| }, | |
| { | |
| "epoch": 181.0, | |
| "learning_rate": 9.500000000000001e-07, | |
| "loss": 2.9012, | |
| "step": 1086 | |
| }, | |
| { | |
| "epoch": 181.0, | |
| "eval_accuracy": 0.4046920821114369, | |
| "eval_loss": 3.983490228652954, | |
| "eval_runtime": 3.1013, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 1086 | |
| }, | |
| { | |
| "epoch": 182.0, | |
| "learning_rate": 9.000000000000001e-07, | |
| "loss": 2.8994, | |
| "step": 1092 | |
| }, | |
| { | |
| "epoch": 182.0, | |
| "eval_accuracy": 0.4046920821114369, | |
| "eval_loss": 3.980245590209961, | |
| "eval_runtime": 3.2714, | |
| "eval_samples_per_second": 0.306, | |
| "eval_steps_per_second": 0.306, | |
| "step": 1092 | |
| }, | |
| { | |
| "epoch": 183.0, | |
| "learning_rate": 8.500000000000001e-07, | |
| "loss": 2.8918, | |
| "step": 1098 | |
| }, | |
| { | |
| "epoch": 183.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.9810588359832764, | |
| "eval_runtime": 3.2463, | |
| "eval_samples_per_second": 0.308, | |
| "eval_steps_per_second": 0.308, | |
| "step": 1098 | |
| }, | |
| { | |
| "epoch": 184.0, | |
| "learning_rate": 8.000000000000001e-07, | |
| "loss": 2.8893, | |
| "step": 1104 | |
| }, | |
| { | |
| "epoch": 184.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.981043815612793, | |
| "eval_runtime": 3.5146, | |
| "eval_samples_per_second": 0.285, | |
| "eval_steps_per_second": 0.285, | |
| "step": 1104 | |
| }, | |
| { | |
| "epoch": 185.0, | |
| "learning_rate": 7.5e-07, | |
| "loss": 2.8865, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 185.0, | |
| "eval_accuracy": 0.40762463343108507, | |
| "eval_loss": 3.9851670265197754, | |
| "eval_runtime": 3.121, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 1110 | |
| }, | |
| { | |
| "epoch": 186.0, | |
| "learning_rate": 7.000000000000001e-07, | |
| "loss": 2.8784, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 186.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9805047512054443, | |
| "eval_runtime": 3.1275, | |
| "eval_samples_per_second": 0.32, | |
| "eval_steps_per_second": 0.32, | |
| "step": 1116 | |
| }, | |
| { | |
| "epoch": 187.0, | |
| "learning_rate": 6.5e-07, | |
| "loss": 2.8875, | |
| "step": 1122 | |
| }, | |
| { | |
| "epoch": 187.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.978147029876709, | |
| "eval_runtime": 3.3509, | |
| "eval_samples_per_second": 0.298, | |
| "eval_steps_per_second": 0.298, | |
| "step": 1122 | |
| }, | |
| { | |
| "epoch": 188.0, | |
| "learning_rate": 6.000000000000001e-07, | |
| "loss": 2.8948, | |
| "step": 1128 | |
| }, | |
| { | |
| "epoch": 188.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9830515384674072, | |
| "eval_runtime": 3.3453, | |
| "eval_samples_per_second": 0.299, | |
| "eval_steps_per_second": 0.299, | |
| "step": 1128 | |
| }, | |
| { | |
| "epoch": 189.0, | |
| "learning_rate": 5.5e-07, | |
| "loss": 2.8927, | |
| "step": 1134 | |
| }, | |
| { | |
| "epoch": 189.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.9836947917938232, | |
| "eval_runtime": 3.1414, | |
| "eval_samples_per_second": 0.318, | |
| "eval_steps_per_second": 0.318, | |
| "step": 1134 | |
| }, | |
| { | |
| "epoch": 190.0, | |
| "learning_rate": 5.000000000000001e-07, | |
| "loss": 2.8739, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 190.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9822254180908203, | |
| "eval_runtime": 3.3757, | |
| "eval_samples_per_second": 0.296, | |
| "eval_steps_per_second": 0.296, | |
| "step": 1140 | |
| }, | |
| { | |
| "epoch": 191.0, | |
| "learning_rate": 4.5000000000000003e-07, | |
| "loss": 2.8919, | |
| "step": 1146 | |
| }, | |
| { | |
| "epoch": 191.0, | |
| "eval_accuracy": 0.4066471163245357, | |
| "eval_loss": 3.9791526794433594, | |
| "eval_runtime": 3.5323, | |
| "eval_samples_per_second": 0.283, | |
| "eval_steps_per_second": 0.283, | |
| "step": 1146 | |
| }, | |
| { | |
| "epoch": 192.0, | |
| "learning_rate": 4.0000000000000003e-07, | |
| "loss": 2.8713, | |
| "step": 1152 | |
| }, | |
| { | |
| "epoch": 192.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9800055027008057, | |
| "eval_runtime": 3.4653, | |
| "eval_samples_per_second": 0.289, | |
| "eval_steps_per_second": 0.289, | |
| "step": 1152 | |
| }, | |
| { | |
| "epoch": 193.0, | |
| "learning_rate": 3.5000000000000004e-07, | |
| "loss": 2.8798, | |
| "step": 1158 | |
| }, | |
| { | |
| "epoch": 193.0, | |
| "eval_accuracy": 0.4046920821114369, | |
| "eval_loss": 3.985433578491211, | |
| "eval_runtime": 3.0972, | |
| "eval_samples_per_second": 0.323, | |
| "eval_steps_per_second": 0.323, | |
| "step": 1158 | |
| }, | |
| { | |
| "epoch": 194.0, | |
| "learning_rate": 3.0000000000000004e-07, | |
| "loss": 2.8835, | |
| "step": 1164 | |
| }, | |
| { | |
| "epoch": 194.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.984498977661133, | |
| "eval_runtime": 4.5165, | |
| "eval_samples_per_second": 0.221, | |
| "eval_steps_per_second": 0.221, | |
| "step": 1164 | |
| }, | |
| { | |
| "epoch": 195.0, | |
| "learning_rate": 2.5000000000000004e-07, | |
| "loss": 2.878, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 195.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.981985330581665, | |
| "eval_runtime": 3.1036, | |
| "eval_samples_per_second": 0.322, | |
| "eval_steps_per_second": 0.322, | |
| "step": 1170 | |
| }, | |
| { | |
| "epoch": 196.0, | |
| "learning_rate": 2.0000000000000002e-07, | |
| "loss": 2.8931, | |
| "step": 1176 | |
| }, | |
| { | |
| "epoch": 196.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.9816386699676514, | |
| "eval_runtime": 3.2982, | |
| "eval_samples_per_second": 0.303, | |
| "eval_steps_per_second": 0.303, | |
| "step": 1176 | |
| }, | |
| { | |
| "epoch": 197.0, | |
| "learning_rate": 1.5000000000000002e-07, | |
| "loss": 2.8662, | |
| "step": 1182 | |
| }, | |
| { | |
| "epoch": 197.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.982978105545044, | |
| "eval_runtime": 4.8102, | |
| "eval_samples_per_second": 0.208, | |
| "eval_steps_per_second": 0.208, | |
| "step": 1182 | |
| }, | |
| { | |
| "epoch": 198.0, | |
| "learning_rate": 1.0000000000000001e-07, | |
| "loss": 2.8734, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 198.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.984077215194702, | |
| "eval_runtime": 3.1139, | |
| "eval_samples_per_second": 0.321, | |
| "eval_steps_per_second": 0.321, | |
| "step": 1188 | |
| }, | |
| { | |
| "epoch": 199.0, | |
| "learning_rate": 5.0000000000000004e-08, | |
| "loss": 2.8825, | |
| "step": 1194 | |
| }, | |
| { | |
| "epoch": 199.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.98300838470459, | |
| "eval_runtime": 3.644, | |
| "eval_samples_per_second": 0.274, | |
| "eval_steps_per_second": 0.274, | |
| "step": 1194 | |
| }, | |
| { | |
| "epoch": 200.0, | |
| "learning_rate": 0.0, | |
| "loss": 2.8825, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 200.0, | |
| "eval_accuracy": 0.4056695992179863, | |
| "eval_loss": 3.982684373855591, | |
| "eval_runtime": 3.4062, | |
| "eval_samples_per_second": 0.294, | |
| "eval_steps_per_second": 0.294, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 200.0, | |
| "step": 1200, | |
| "total_flos": 1.044564148224e+16, | |
| "train_loss": 3.9290491278966266, | |
| "train_runtime": 32687.0411, | |
| "train_samples_per_second": 0.073, | |
| "train_steps_per_second": 0.037 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 1200, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 200, | |
| "save_steps": 500, | |
| "total_flos": 1.044564148224e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |