|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.3979822456254807, |
|
"global_step": 60000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.01, |
|
"learning_rate": 5.999999999999999e-06, |
|
"loss": 0.9072, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"learning_rate": 1.1999999999999999e-05, |
|
"loss": 0.6779, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"eval_loss": 0.6512336730957031, |
|
"eval_runtime": 1.3899, |
|
"eval_samples_per_second": 1581.436, |
|
"eval_steps_per_second": 25.182, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"learning_rate": 1.7999999999999997e-05, |
|
"loss": 0.6516, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"learning_rate": 2.3999999999999997e-05, |
|
"loss": 0.6505, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"eval_loss": 0.6479398608207703, |
|
"eval_runtime": 1.2819, |
|
"eval_samples_per_second": 1714.632, |
|
"eval_steps_per_second": 27.303, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"learning_rate": 2.9999999999999997e-05, |
|
"loss": 0.6487, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"learning_rate": 3.5999999999999994e-05, |
|
"loss": 0.6475, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"eval_loss": 0.6461147665977478, |
|
"eval_runtime": 1.2932, |
|
"eval_samples_per_second": 1699.633, |
|
"eval_steps_per_second": 27.064, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 4.2e-05, |
|
"loss": 0.6469, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 4.7999999999999994e-05, |
|
"loss": 0.6464, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"eval_loss": 0.6451290249824524, |
|
"eval_runtime": 1.2355, |
|
"eval_samples_per_second": 1779.085, |
|
"eval_steps_per_second": 28.329, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"learning_rate": 5.399999999999999e-05, |
|
"loss": 0.6459, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 5.9999999999999995e-05, |
|
"loss": 0.6455, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_loss": 0.6444417238235474, |
|
"eval_runtime": 1.2972, |
|
"eval_samples_per_second": 1694.435, |
|
"eval_steps_per_second": 26.981, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.13, |
|
"learning_rate": 6.599999999999999e-05, |
|
"loss": 0.6452, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"learning_rate": 7.199999999999999e-05, |
|
"loss": 0.6448, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.14, |
|
"eval_loss": 0.6438854336738586, |
|
"eval_runtime": 1.2871, |
|
"eval_samples_per_second": 1707.767, |
|
"eval_steps_per_second": 27.194, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 0.15, |
|
"learning_rate": 7.8e-05, |
|
"loss": 0.64, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"learning_rate": 8.4e-05, |
|
"loss": 0.6222, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"eval_loss": 0.6123253703117371, |
|
"eval_runtime": 1.2501, |
|
"eval_samples_per_second": 1758.21, |
|
"eval_steps_per_second": 27.997, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 8.999999999999999e-05, |
|
"loss": 0.6115, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"learning_rate": 9.599999999999999e-05, |
|
"loss": 0.6019, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.19, |
|
"eval_loss": 0.5872684717178345, |
|
"eval_runtime": 1.2778, |
|
"eval_samples_per_second": 1720.181, |
|
"eval_steps_per_second": 27.391, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.000102, |
|
"loss": 0.5924, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"learning_rate": 0.00010799999999999998, |
|
"loss": 0.5838, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.21, |
|
"eval_loss": 0.5689075589179993, |
|
"eval_runtime": 1.2743, |
|
"eval_samples_per_second": 1724.838, |
|
"eval_steps_per_second": 27.466, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 0.00011399999999999999, |
|
"loss": 0.5737, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"learning_rate": 0.00011999999999999999, |
|
"loss": 0.5612, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.23, |
|
"eval_loss": 0.5473007559776306, |
|
"eval_runtime": 1.2648, |
|
"eval_samples_per_second": 1737.882, |
|
"eval_steps_per_second": 27.673, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 0.24, |
|
"learning_rate": 0.00012599999999999997, |
|
"loss": 0.5516, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00013199999999999998, |
|
"loss": 0.5428, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"eval_loss": 0.5300613045692444, |
|
"eval_runtime": 1.2658, |
|
"eval_samples_per_second": 1736.485, |
|
"eval_steps_per_second": 27.651, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 0.27, |
|
"learning_rate": 0.000138, |
|
"loss": 0.5346, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 0.00014399999999999998, |
|
"loss": 0.527, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.28, |
|
"eval_loss": 0.5140743255615234, |
|
"eval_runtime": 1.2609, |
|
"eval_samples_per_second": 1743.192, |
|
"eval_steps_per_second": 27.758, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 0.29, |
|
"learning_rate": 0.00015, |
|
"loss": 0.5203, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"learning_rate": 0.000156, |
|
"loss": 0.5142, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.3, |
|
"eval_loss": 0.5022566318511963, |
|
"eval_runtime": 1.2481, |
|
"eval_samples_per_second": 1761.066, |
|
"eval_steps_per_second": 28.042, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 0.31, |
|
"learning_rate": 0.000162, |
|
"loss": 0.5079, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 0.000168, |
|
"loss": 0.5002, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.33, |
|
"eval_loss": 0.4841987192630768, |
|
"eval_runtime": 1.3176, |
|
"eval_samples_per_second": 1668.178, |
|
"eval_steps_per_second": 26.563, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 0.00017399999999999997, |
|
"loss": 0.4916, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"learning_rate": 0.00017999999999999998, |
|
"loss": 0.4852, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.35, |
|
"eval_loss": 0.47066375613212585, |
|
"eval_runtime": 1.3026, |
|
"eval_samples_per_second": 1687.422, |
|
"eval_steps_per_second": 26.87, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 0.36, |
|
"learning_rate": 0.000186, |
|
"loss": 0.4778, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"learning_rate": 0.00019199999999999998, |
|
"loss": 0.4697, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.37, |
|
"eval_loss": 0.4562186300754547, |
|
"eval_runtime": 1.2895, |
|
"eval_samples_per_second": 1704.503, |
|
"eval_steps_per_second": 27.142, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 0.000198, |
|
"loss": 0.4636, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 0.000204, |
|
"loss": 0.459, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"eval_loss": 0.44295796751976013, |
|
"eval_runtime": 1.2516, |
|
"eval_samples_per_second": 1756.093, |
|
"eval_steps_per_second": 27.963, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 0.41, |
|
"learning_rate": 0.00020999999999999998, |
|
"loss": 0.4544, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"learning_rate": 0.00021599999999999996, |
|
"loss": 0.45, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.42, |
|
"eval_loss": 0.4343169629573822, |
|
"eval_runtime": 1.327, |
|
"eval_samples_per_second": 1656.351, |
|
"eval_steps_per_second": 26.375, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 0.00022199999999999998, |
|
"loss": 0.4458, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"learning_rate": 0.00022799999999999999, |
|
"loss": 0.4411, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.44, |
|
"eval_loss": 0.42496559023857117, |
|
"eval_runtime": 1.3285, |
|
"eval_samples_per_second": 1654.492, |
|
"eval_steps_per_second": 26.345, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 0.000234, |
|
"loss": 0.4368, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 0.00023999999999999998, |
|
"loss": 0.4322, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.47, |
|
"eval_loss": 0.4132905900478363, |
|
"eval_runtime": 1.3158, |
|
"eval_samples_per_second": 1670.425, |
|
"eval_steps_per_second": 26.599, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 0.48, |
|
"learning_rate": 0.00024599999999999996, |
|
"loss": 0.4278, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"learning_rate": 0.00025199999999999995, |
|
"loss": 0.4233, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.49, |
|
"eval_loss": 0.4032529294490814, |
|
"eval_runtime": 1.2842, |
|
"eval_samples_per_second": 1711.577, |
|
"eval_steps_per_second": 27.254, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 0.5, |
|
"learning_rate": 0.000258, |
|
"loss": 0.4189, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 0.00026399999999999997, |
|
"loss": 0.4146, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"eval_loss": 0.39436739683151245, |
|
"eval_runtime": 1.2633, |
|
"eval_samples_per_second": 1739.901, |
|
"eval_steps_per_second": 27.705, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 0.52, |
|
"learning_rate": 0.00027, |
|
"loss": 0.4109, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"learning_rate": 0.000276, |
|
"loss": 0.4077, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 0.54, |
|
"eval_loss": 0.38647642731666565, |
|
"eval_runtime": 1.2503, |
|
"eval_samples_per_second": 1758.021, |
|
"eval_steps_per_second": 27.994, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 0.55, |
|
"learning_rate": 0.00028199999999999997, |
|
"loss": 0.4047, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 0.00028799999999999995, |
|
"loss": 0.4019, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"eval_loss": 0.381785124540329, |
|
"eval_runtime": 1.2485, |
|
"eval_samples_per_second": 1760.518, |
|
"eval_steps_per_second": 28.034, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 0.57, |
|
"learning_rate": 0.000294, |
|
"loss": 0.3994, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"learning_rate": 0.0003, |
|
"loss": 0.3968, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 0.58, |
|
"eval_loss": 0.3785216510295868, |
|
"eval_runtime": 1.2913, |
|
"eval_samples_per_second": 1702.153, |
|
"eval_steps_per_second": 27.104, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 0.59, |
|
"learning_rate": 0.00029999920715161553, |
|
"loss": 0.3945, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"learning_rate": 0.0002999968286151326, |
|
"loss": 0.392, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 0.61, |
|
"eval_loss": 0.37318962812423706, |
|
"eval_runtime": 1.2758, |
|
"eval_samples_per_second": 1722.782, |
|
"eval_steps_per_second": 27.433, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 0.62, |
|
"learning_rate": 0.0002999928644165624, |
|
"loss": 0.3897, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"learning_rate": 0.0002999873145992569, |
|
"loss": 0.3869, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 0.63, |
|
"eval_loss": 0.3669659197330475, |
|
"eval_runtime": 1.2869, |
|
"eval_samples_per_second": 1707.967, |
|
"eval_steps_per_second": 27.197, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 0.000299980179223908, |
|
"loss": 0.385, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 0.0002999714583685469, |
|
"loss": 0.3828, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"eval_loss": 0.3615981340408325, |
|
"eval_runtime": 1.2961, |
|
"eval_samples_per_second": 1695.914, |
|
"eval_steps_per_second": 27.005, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 0.66, |
|
"learning_rate": 0.00029996115212854366, |
|
"loss": 0.3808, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 0.00029994926061660554, |
|
"loss": 0.3786, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"eval_loss": 0.3613170087337494, |
|
"eval_runtime": 1.3013, |
|
"eval_samples_per_second": 1689.114, |
|
"eval_steps_per_second": 26.897, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 0.69, |
|
"learning_rate": 0.0002999357839627762, |
|
"loss": 0.377, |
|
"step": 29500 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"learning_rate": 0.00029992072231443425, |
|
"loss": 0.3751, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 0.7, |
|
"eval_loss": 0.35551005601882935, |
|
"eval_runtime": 1.2661, |
|
"eval_samples_per_second": 1736.053, |
|
"eval_steps_per_second": 27.644, |
|
"step": 30000 |
|
}, |
|
{ |
|
"epoch": 0.71, |
|
"learning_rate": 0.0002999040758362914, |
|
"loss": 0.3731, |
|
"step": 30500 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"learning_rate": 0.00029988584471039094, |
|
"loss": 0.3713, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 0.72, |
|
"eval_loss": 0.35287660360336304, |
|
"eval_runtime": 1.3423, |
|
"eval_samples_per_second": 1637.545, |
|
"eval_steps_per_second": 26.076, |
|
"step": 31000 |
|
}, |
|
{ |
|
"epoch": 0.73, |
|
"learning_rate": 0.0002998660291361054, |
|
"loss": 0.3699, |
|
"step": 31500 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"learning_rate": 0.0002998446293301349, |
|
"loss": 0.3681, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 0.75, |
|
"eval_loss": 0.35174888372421265, |
|
"eval_runtime": 1.3006, |
|
"eval_samples_per_second": 1690.029, |
|
"eval_steps_per_second": 26.911, |
|
"step": 32000 |
|
}, |
|
{ |
|
"epoch": 0.76, |
|
"learning_rate": 0.0002998216455265042, |
|
"loss": 0.3667, |
|
"step": 32500 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 0.00029979707797656046, |
|
"loss": 0.3656, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"eval_loss": 0.34766125679016113, |
|
"eval_runtime": 1.3363, |
|
"eval_samples_per_second": 1644.872, |
|
"eval_steps_per_second": 26.192, |
|
"step": 33000 |
|
}, |
|
{ |
|
"epoch": 0.78, |
|
"learning_rate": 0.00029977092694897053, |
|
"loss": 0.3641, |
|
"step": 33500 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 0.0002997431927297178, |
|
"loss": 0.3626, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"eval_loss": 0.3423311412334442, |
|
"eval_runtime": 1.3208, |
|
"eval_samples_per_second": 1664.116, |
|
"eval_steps_per_second": 26.499, |
|
"step": 34000 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 0.00029971387562209936, |
|
"loss": 0.3616, |
|
"step": 34500 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"learning_rate": 0.00029968297594672226, |
|
"loss": 0.3601, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 0.82, |
|
"eval_loss": 0.34427037835121155, |
|
"eval_runtime": 1.2929, |
|
"eval_samples_per_second": 1700.099, |
|
"eval_steps_per_second": 27.072, |
|
"step": 35000 |
|
}, |
|
{ |
|
"epoch": 0.83, |
|
"learning_rate": 0.0002996504940415005, |
|
"loss": 0.3589, |
|
"step": 35500 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 0.00029961643026165096, |
|
"loss": 0.3577, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"eval_loss": 0.34002143144607544, |
|
"eval_runtime": 1.2974, |
|
"eval_samples_per_second": 1694.186, |
|
"eval_steps_per_second": 26.977, |
|
"step": 36000 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 0.00029958078497968973, |
|
"loss": 0.3568, |
|
"step": 36500 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"learning_rate": 0.0002995435585854278, |
|
"loss": 0.3555, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 0.86, |
|
"eval_loss": 0.3368704915046692, |
|
"eval_runtime": 1.3166, |
|
"eval_samples_per_second": 1669.417, |
|
"eval_steps_per_second": 26.583, |
|
"step": 37000 |
|
}, |
|
{ |
|
"epoch": 0.87, |
|
"learning_rate": 0.0002995047514859671, |
|
"loss": 0.3542, |
|
"step": 37500 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"learning_rate": 0.0002994643641056959, |
|
"loss": 0.3532, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 0.89, |
|
"eval_loss": 0.3357352018356323, |
|
"eval_runtime": 1.2847, |
|
"eval_samples_per_second": 1710.953, |
|
"eval_steps_per_second": 27.244, |
|
"step": 38000 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 0.000299422396886284, |
|
"loss": 0.3523, |
|
"step": 38500 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"learning_rate": 0.0002993788502866783, |
|
"loss": 0.3514, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 0.91, |
|
"eval_loss": 0.33294928073883057, |
|
"eval_runtime": 1.272, |
|
"eval_samples_per_second": 1728.032, |
|
"eval_steps_per_second": 27.516, |
|
"step": 39000 |
|
}, |
|
{ |
|
"epoch": 0.92, |
|
"learning_rate": 0.00029933372478309746, |
|
"loss": 0.3503, |
|
"step": 39500 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"learning_rate": 0.00029928702086902664, |
|
"loss": 0.3493, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 0.93, |
|
"eval_loss": 0.332314670085907, |
|
"eval_runtime": 1.318, |
|
"eval_samples_per_second": 1667.699, |
|
"eval_steps_per_second": 26.556, |
|
"step": 40000 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 0.00029923873905521244, |
|
"loss": 0.3483, |
|
"step": 40500 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 0.000299188879869657, |
|
"loss": 0.3477, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_loss": 0.33138296008110046, |
|
"eval_runtime": 1.2875, |
|
"eval_samples_per_second": 1707.216, |
|
"eval_steps_per_second": 27.185, |
|
"step": 41000 |
|
}, |
|
{ |
|
"epoch": 0.97, |
|
"learning_rate": 0.00029913744385761244, |
|
"loss": 0.3466, |
|
"step": 41500 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 0.00029908443158157465, |
|
"loss": 0.3459, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"eval_loss": 0.32563212513923645, |
|
"eval_runtime": 1.2983, |
|
"eval_samples_per_second": 1692.964, |
|
"eval_steps_per_second": 26.958, |
|
"step": 42000 |
|
}, |
|
{ |
|
"epoch": 0.99, |
|
"learning_rate": 0.0002990298436212775, |
|
"loss": 0.3448, |
|
"step": 42500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 0.0002989736805736861, |
|
"loss": 0.3441, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.32700827717781067, |
|
"eval_runtime": 1.3967, |
|
"eval_samples_per_second": 1573.716, |
|
"eval_steps_per_second": 25.059, |
|
"step": 43000 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 0.00029891594305299065, |
|
"loss": 0.3432, |
|
"step": 43500 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"learning_rate": 0.00029885663169059926, |
|
"loss": 0.3424, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.03, |
|
"eval_loss": 0.3216361701488495, |
|
"eval_runtime": 1.4298, |
|
"eval_samples_per_second": 1537.25, |
|
"eval_steps_per_second": 24.479, |
|
"step": 44000 |
|
}, |
|
{ |
|
"epoch": 1.04, |
|
"learning_rate": 0.0002987957471351316, |
|
"loss": 0.3415, |
|
"step": 44500 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 0.00029873329005241137, |
|
"loss": 0.3408, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"eval_loss": 0.324531614780426, |
|
"eval_runtime": 1.3974, |
|
"eval_samples_per_second": 1572.95, |
|
"eval_steps_per_second": 25.047, |
|
"step": 45000 |
|
}, |
|
{ |
|
"epoch": 1.06, |
|
"learning_rate": 0.00029866926112545925, |
|
"loss": 0.3399, |
|
"step": 45500 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"learning_rate": 0.00029860366105448534, |
|
"loss": 0.3394, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.07, |
|
"eval_loss": 0.3231622278690338, |
|
"eval_runtime": 1.3921, |
|
"eval_samples_per_second": 1578.889, |
|
"eval_steps_per_second": 25.142, |
|
"step": 46000 |
|
}, |
|
{ |
|
"epoch": 1.08, |
|
"learning_rate": 0.00029853649055688143, |
|
"loss": 0.3387, |
|
"step": 46500 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"learning_rate": 0.00029846775036721337, |
|
"loss": 0.338, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 1.1, |
|
"eval_loss": 0.32254886627197266, |
|
"eval_runtime": 1.4182, |
|
"eval_samples_per_second": 1549.86, |
|
"eval_steps_per_second": 24.679, |
|
"step": 47000 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 0.0002983974412372129, |
|
"loss": 0.337, |
|
"step": 47500 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 0.00029832556393576934, |
|
"loss": 0.3363, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"eval_loss": 0.3195147216320038, |
|
"eval_runtime": 1.408, |
|
"eval_samples_per_second": 1561.07, |
|
"eval_steps_per_second": 24.858, |
|
"step": 48000 |
|
}, |
|
{ |
|
"epoch": 1.13, |
|
"learning_rate": 0.0002982521192489214, |
|
"loss": 0.3357, |
|
"step": 48500 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"learning_rate": 0.0002981771079798483, |
|
"loss": 0.3353, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 1.14, |
|
"eval_loss": 0.3167419731616974, |
|
"eval_runtime": 1.4463, |
|
"eval_samples_per_second": 1519.733, |
|
"eval_steps_per_second": 24.2, |
|
"step": 49000 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 0.00029810053094886136, |
|
"loss": 0.3345, |
|
"step": 49500 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"learning_rate": 0.00029802238899339473, |
|
"loss": 0.3338, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 1.16, |
|
"eval_loss": 0.3171909749507904, |
|
"eval_runtime": 1.4105, |
|
"eval_samples_per_second": 1558.283, |
|
"eval_steps_per_second": 24.813, |
|
"step": 50000 |
|
}, |
|
{ |
|
"epoch": 1.18, |
|
"learning_rate": 0.0002979426829679962, |
|
"loss": 0.3334, |
|
"step": 50500 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"learning_rate": 0.0002978614137443183, |
|
"loss": 0.3325, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"eval_loss": 0.31682637333869934, |
|
"eval_runtime": 1.4213, |
|
"eval_samples_per_second": 1546.472, |
|
"eval_steps_per_second": 24.625, |
|
"step": 51000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 0.000297778582211108, |
|
"loss": 0.3322, |
|
"step": 51500 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 0.00029769418927419786, |
|
"loss": 0.3316, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"eval_loss": 0.31410133838653564, |
|
"eval_runtime": 1.4261, |
|
"eval_samples_per_second": 1541.269, |
|
"eval_steps_per_second": 24.542, |
|
"step": 52000 |
|
}, |
|
{ |
|
"epoch": 1.22, |
|
"learning_rate": 0.0002976082358564954, |
|
"loss": 0.331, |
|
"step": 52500 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"learning_rate": 0.00029752072289797353, |
|
"loss": 0.3305, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 1.23, |
|
"eval_loss": 0.3114263713359833, |
|
"eval_runtime": 1.4182, |
|
"eval_samples_per_second": 1549.888, |
|
"eval_steps_per_second": 24.68, |
|
"step": 53000 |
|
}, |
|
{ |
|
"epoch": 1.25, |
|
"learning_rate": 0.00029743165135565986, |
|
"loss": 0.3301, |
|
"step": 53500 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"learning_rate": 0.00029734102220362654, |
|
"loss": 0.3303, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 1.26, |
|
"eval_loss": 0.3110273778438568, |
|
"eval_runtime": 1.3899, |
|
"eval_samples_per_second": 1581.462, |
|
"eval_steps_per_second": 25.183, |
|
"step": 54000 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 0.00029724883643297937, |
|
"loss": 0.3289, |
|
"step": 54500 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 0.0002971550950518473, |
|
"loss": 0.3284, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"eval_loss": 0.3112471401691437, |
|
"eval_runtime": 1.3713, |
|
"eval_samples_per_second": 1602.906, |
|
"eval_steps_per_second": 25.524, |
|
"step": 55000 |
|
}, |
|
{ |
|
"epoch": 1.29, |
|
"learning_rate": 0.000297059799085371, |
|
"loss": 0.3284, |
|
"step": 55500 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 0.00029696294957569196, |
|
"loss": 0.3276, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"eval_loss": 0.30989283323287964, |
|
"eval_runtime": 1.4309, |
|
"eval_samples_per_second": 1536.096, |
|
"eval_steps_per_second": 24.46, |
|
"step": 56000 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 0.00029686454758194076, |
|
"loss": 0.3269, |
|
"step": 56500 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"learning_rate": 0.00029676459418022594, |
|
"loss": 0.3264, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 1.33, |
|
"eval_loss": 0.3089369833469391, |
|
"eval_runtime": 1.4226, |
|
"eval_samples_per_second": 1545.068, |
|
"eval_steps_per_second": 24.603, |
|
"step": 57000 |
|
}, |
|
{ |
|
"epoch": 1.34, |
|
"learning_rate": 0.0002966630904636219, |
|
"loss": 0.3261, |
|
"step": 57500 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 0.0002965600375421569, |
|
"loss": 0.3256, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"eval_loss": 0.31043851375579834, |
|
"eval_runtime": 1.4043, |
|
"eval_samples_per_second": 1565.245, |
|
"eval_steps_per_second": 24.924, |
|
"step": 58000 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 0.0002964554365428013, |
|
"loss": 0.3251, |
|
"step": 58500 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"learning_rate": 0.00029634928860945486, |
|
"loss": 0.3247, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"eval_loss": 0.3088381588459015, |
|
"eval_runtime": 1.4281, |
|
"eval_samples_per_second": 1539.081, |
|
"eval_steps_per_second": 24.508, |
|
"step": 59000 |
|
}, |
|
{ |
|
"epoch": 1.39, |
|
"learning_rate": 0.0002962415949029343, |
|
"loss": 0.3243, |
|
"step": 59500 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 0.00029613235660096084, |
|
"loss": 0.3241, |
|
"step": 60000 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"eval_loss": 0.3055568337440491, |
|
"eval_runtime": 1.4302, |
|
"eval_samples_per_second": 1536.88, |
|
"eval_steps_per_second": 24.473, |
|
"step": 60000 |
|
} |
|
], |
|
"max_steps": 500000, |
|
"num_train_epochs": 12, |
|
"total_flos": 1.9169203356560932e+21, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|