| { | |
| "best_metric": 0.951139509677887, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-122000", | |
| "epoch": 5.011408083441982, | |
| "eval_steps": 1000, | |
| "global_step": 123000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.05, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1403, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.33712574850299404, | |
| "eval_loss": 1.1030837297439575, | |
| "eval_runtime": 29.7882, | |
| "eval_samples_per_second": 168.187, | |
| "eval_steps_per_second": 21.049, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1194, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.34331337325349304, | |
| "eval_loss": 1.1002165079116821, | |
| "eval_runtime": 29.8685, | |
| "eval_samples_per_second": 167.735, | |
| "eval_steps_per_second": 20.992, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1194, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3471057884231537, | |
| "eval_loss": 1.101266622543335, | |
| "eval_runtime": 29.709, | |
| "eval_samples_per_second": 168.636, | |
| "eval_steps_per_second": 21.105, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1166, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.34311377245508984, | |
| "eval_loss": 1.0984796285629272, | |
| "eval_runtime": 29.9401, | |
| "eval_samples_per_second": 167.334, | |
| "eval_steps_per_second": 20.942, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3883333333333335e-07, | |
| "loss": 1.1137, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3403193612774451, | |
| "eval_loss": 1.0974279642105103, | |
| "eval_runtime": 29.8185, | |
| "eval_samples_per_second": 168.016, | |
| "eval_steps_per_second": 21.027, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1109, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3592814371257485, | |
| "eval_loss": 1.0984892845153809, | |
| "eval_runtime": 29.893, | |
| "eval_samples_per_second": 167.598, | |
| "eval_steps_per_second": 20.975, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9436111111111112e-07, | |
| "loss": 1.1122, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.36327345309381237, | |
| "eval_loss": 1.0960686206817627, | |
| "eval_runtime": 29.8315, | |
| "eval_samples_per_second": 167.943, | |
| "eval_steps_per_second": 21.018, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2213888888888891e-07, | |
| "loss": 1.1091, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.35728542914171657, | |
| "eval_loss": 1.0958523750305176, | |
| "eval_runtime": 29.9494, | |
| "eval_samples_per_second": 167.282, | |
| "eval_steps_per_second": 20.935, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4988888888888893e-07, | |
| "loss": 1.1077, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.35528942115768464, | |
| "eval_loss": 1.1003851890563965, | |
| "eval_runtime": 29.9762, | |
| "eval_samples_per_second": 167.133, | |
| "eval_steps_per_second": 20.917, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776666666666667e-07, | |
| "loss": 1.1091, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.3790419161676647, | |
| "eval_loss": 1.0951762199401855, | |
| "eval_runtime": 29.8593, | |
| "eval_samples_per_second": 167.787, | |
| "eval_steps_per_second": 20.998, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.0541666666666667e-07, | |
| "loss": 1.1047, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.3780439121756487, | |
| "eval_loss": 1.0928910970687866, | |
| "eval_runtime": 29.8768, | |
| "eval_samples_per_second": 167.689, | |
| "eval_steps_per_second": 20.986, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3319444444444444e-07, | |
| "loss": 1.1053, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.38323353293413176, | |
| "eval_loss": 1.0910215377807617, | |
| "eval_runtime": 29.8703, | |
| "eval_samples_per_second": 167.725, | |
| "eval_steps_per_second": 20.991, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.6094444444444446e-07, | |
| "loss": 1.1035, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.34850299401197604, | |
| "eval_loss": 1.0930161476135254, | |
| "eval_runtime": 29.8865, | |
| "eval_samples_per_second": 167.634, | |
| "eval_steps_per_second": 20.979, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8872222222222223e-07, | |
| "loss": 1.1002, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.3646706586826347, | |
| "eval_loss": 1.093497633934021, | |
| "eval_runtime": 30.0222, | |
| "eval_samples_per_second": 166.877, | |
| "eval_steps_per_second": 20.885, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.1647222222222225e-07, | |
| "loss": 1.1025, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.37924151696606784, | |
| "eval_loss": 1.0900779962539673, | |
| "eval_runtime": 30.0049, | |
| "eval_samples_per_second": 166.973, | |
| "eval_steps_per_second": 20.897, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.4425e-07, | |
| "loss": 1.0992, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.40119760479041916, | |
| "eval_loss": 1.0855979919433594, | |
| "eval_runtime": 30.1095, | |
| "eval_samples_per_second": 166.393, | |
| "eval_steps_per_second": 20.824, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7200000000000004e-07, | |
| "loss": 1.0965, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.4171656686626746, | |
| "eval_loss": 1.0845381021499634, | |
| "eval_runtime": 30.0586, | |
| "eval_samples_per_second": 166.674, | |
| "eval_steps_per_second": 20.859, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.997777777777779e-07, | |
| "loss": 1.0962, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4087824351297405, | |
| "eval_loss": 1.0860552787780762, | |
| "eval_runtime": 30.2343, | |
| "eval_samples_per_second": 165.706, | |
| "eval_steps_per_second": 20.738, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275277777777778e-07, | |
| "loss": 1.0936, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.4039920159680639, | |
| "eval_loss": 1.0822259187698364, | |
| "eval_runtime": 30.216, | |
| "eval_samples_per_second": 165.806, | |
| "eval_steps_per_second": 20.751, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.553055555555556e-07, | |
| "loss": 1.0923, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4095808383233533, | |
| "eval_loss": 1.0820951461791992, | |
| "eval_runtime": 29.968, | |
| "eval_samples_per_second": 167.178, | |
| "eval_steps_per_second": 20.922, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830555555555556e-07, | |
| "loss": 1.0897, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.4149700598802395, | |
| "eval_loss": 1.0763800144195557, | |
| "eval_runtime": 30.021, | |
| "eval_samples_per_second": 166.883, | |
| "eval_steps_per_second": 20.885, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108333333333333e-07, | |
| "loss": 1.0888, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.43193612774451096, | |
| "eval_loss": 1.0687414407730103, | |
| "eval_runtime": 30.1577, | |
| "eval_samples_per_second": 166.127, | |
| "eval_steps_per_second": 20.791, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.385833333333334e-07, | |
| "loss": 1.0823, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.4285429141716567, | |
| "eval_loss": 1.0642070770263672, | |
| "eval_runtime": 30.0701, | |
| "eval_samples_per_second": 166.611, | |
| "eval_steps_per_second": 20.851, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663611111111112e-07, | |
| "loss": 1.0786, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.4363273453093812, | |
| "eval_loss": 1.0598841905593872, | |
| "eval_runtime": 30.0689, | |
| "eval_samples_per_second": 166.617, | |
| "eval_steps_per_second": 20.852, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.941111111111112e-07, | |
| "loss": 1.0708, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4429141716566866, | |
| "eval_loss": 1.0561795234680176, | |
| "eval_runtime": 30.1301, | |
| "eval_samples_per_second": 166.279, | |
| "eval_steps_per_second": 20.81, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.218888888888889e-07, | |
| "loss": 1.072, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.4303393213572854, | |
| "eval_loss": 1.0574887990951538, | |
| "eval_runtime": 30.0473, | |
| "eval_samples_per_second": 166.737, | |
| "eval_steps_per_second": 20.867, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.496666666666667e-07, | |
| "loss": 1.0701, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4421157684630739, | |
| "eval_loss": 1.055459976196289, | |
| "eval_runtime": 30.1049, | |
| "eval_samples_per_second": 166.418, | |
| "eval_steps_per_second": 20.827, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.774166666666668e-07, | |
| "loss": 1.0677, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.4285429141716567, | |
| "eval_loss": 1.0527067184448242, | |
| "eval_runtime": 30.1476, | |
| "eval_samples_per_second": 166.182, | |
| "eval_steps_per_second": 20.798, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.051944444444445e-07, | |
| "loss": 1.065, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.43852295409181635, | |
| "eval_loss": 1.0494154691696167, | |
| "eval_runtime": 30.036, | |
| "eval_samples_per_second": 166.8, | |
| "eval_steps_per_second": 20.875, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.329444444444445e-07, | |
| "loss": 1.0628, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.4377245508982036, | |
| "eval_loss": 1.0461777448654175, | |
| "eval_runtime": 30.1005, | |
| "eval_samples_per_second": 166.442, | |
| "eval_steps_per_second": 20.83, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 8.607222222222223e-07, | |
| "loss": 1.0672, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.4435129740518962, | |
| "eval_loss": 1.0531694889068604, | |
| "eval_runtime": 30.1733, | |
| "eval_samples_per_second": 166.041, | |
| "eval_steps_per_second": 20.78, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 8.884722222222224e-07, | |
| "loss": 1.0638, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_accuracy": 0.4297405189620758, | |
| "eval_loss": 1.0501775741577148, | |
| "eval_runtime": 30.058, | |
| "eval_samples_per_second": 166.678, | |
| "eval_steps_per_second": 20.86, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 9.162500000000001e-07, | |
| "loss": 1.0637, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "eval_accuracy": 0.44491017964071855, | |
| "eval_loss": 1.0452704429626465, | |
| "eval_runtime": 30.3623, | |
| "eval_samples_per_second": 165.007, | |
| "eval_steps_per_second": 20.651, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 9.440000000000001e-07, | |
| "loss": 1.0558, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_accuracy": 0.44510978043912175, | |
| "eval_loss": 1.0434744358062744, | |
| "eval_runtime": 30.2239, | |
| "eval_samples_per_second": 165.763, | |
| "eval_steps_per_second": 20.745, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 9.71777777777778e-07, | |
| "loss": 1.0598, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.4473053892215569, | |
| "eval_loss": 1.039801001548767, | |
| "eval_runtime": 30.107, | |
| "eval_samples_per_second": 166.407, | |
| "eval_steps_per_second": 20.826, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 9.995277777777778e-07, | |
| "loss": 1.0601, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_accuracy": 0.4469061876247505, | |
| "eval_loss": 1.037074327468872, | |
| "eval_runtime": 30.1954, | |
| "eval_samples_per_second": 165.919, | |
| "eval_steps_per_second": 20.765, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 1.0273055555555556e-06, | |
| "loss": 1.0529, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_accuracy": 0.45229540918163674, | |
| "eval_loss": 1.0346434116363525, | |
| "eval_runtime": 30.2856, | |
| "eval_samples_per_second": 165.425, | |
| "eval_steps_per_second": 20.703, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 1.0550555555555557e-06, | |
| "loss": 1.0544, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_accuracy": 0.45129740518962075, | |
| "eval_loss": 1.0338674783706665, | |
| "eval_runtime": 30.1511, | |
| "eval_samples_per_second": 166.163, | |
| "eval_steps_per_second": 20.795, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 1.0828333333333334e-06, | |
| "loss": 1.0528, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.44550898203592815, | |
| "eval_loss": 1.0376836061477661, | |
| "eval_runtime": 30.304, | |
| "eval_samples_per_second": 165.324, | |
| "eval_steps_per_second": 20.69, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 1.1106111111111112e-06, | |
| "loss": 1.0482, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_accuracy": 0.4540918163672655, | |
| "eval_loss": 1.031366229057312, | |
| "eval_runtime": 30.2062, | |
| "eval_samples_per_second": 165.86, | |
| "eval_steps_per_second": 20.757, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 1.1383611111111113e-06, | |
| "loss": 1.0494, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "eval_accuracy": 0.4552894211576846, | |
| "eval_loss": 1.032992959022522, | |
| "eval_runtime": 30.1667, | |
| "eval_samples_per_second": 166.077, | |
| "eval_steps_per_second": 20.784, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 1.166138888888889e-06, | |
| "loss": 1.0474, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "eval_accuracy": 0.45129740518962075, | |
| "eval_loss": 1.0255250930786133, | |
| "eval_runtime": 30.2122, | |
| "eval_samples_per_second": 165.827, | |
| "eval_steps_per_second": 20.753, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 1.193888888888889e-06, | |
| "loss": 1.0448, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.4483033932135729, | |
| "eval_loss": 1.0412585735321045, | |
| "eval_runtime": 30.2083, | |
| "eval_samples_per_second": 165.849, | |
| "eval_steps_per_second": 20.756, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 1.2216666666666667e-06, | |
| "loss": 1.0458, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "eval_accuracy": 0.46427145708582834, | |
| "eval_loss": 1.0211690664291382, | |
| "eval_runtime": 30.4051, | |
| "eval_samples_per_second": 164.775, | |
| "eval_steps_per_second": 20.622, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 1.2494166666666668e-06, | |
| "loss": 1.0468, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "eval_accuracy": 0.47105788423153694, | |
| "eval_loss": 1.0185887813568115, | |
| "eval_runtime": 30.1465, | |
| "eval_samples_per_second": 166.188, | |
| "eval_steps_per_second": 20.798, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 1.2771944444444445e-06, | |
| "loss": 1.0414, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "eval_accuracy": 0.46966067864271455, | |
| "eval_loss": 1.0215678215026855, | |
| "eval_runtime": 30.1615, | |
| "eval_samples_per_second": 166.106, | |
| "eval_steps_per_second": 20.788, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 1.3049444444444446e-06, | |
| "loss": 1.0374, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "eval_accuracy": 0.47684630738522954, | |
| "eval_loss": 1.0100239515304565, | |
| "eval_runtime": 30.0919, | |
| "eval_samples_per_second": 166.49, | |
| "eval_steps_per_second": 20.836, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 1.3327222222222224e-06, | |
| "loss": 1.0423, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "eval_accuracy": 0.462874251497006, | |
| "eval_loss": 1.0277544260025024, | |
| "eval_runtime": 30.0926, | |
| "eval_samples_per_second": 166.486, | |
| "eval_steps_per_second": 20.836, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 1.3604722222222224e-06, | |
| "loss": 1.0332, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.4870259481037924, | |
| "eval_loss": 1.0046255588531494, | |
| "eval_runtime": 30.0835, | |
| "eval_samples_per_second": 166.536, | |
| "eval_steps_per_second": 20.842, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 1.3882500000000002e-06, | |
| "loss": 1.0337, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "eval_accuracy": 0.48542914171656687, | |
| "eval_loss": 1.00551438331604, | |
| "eval_runtime": 30.1523, | |
| "eval_samples_per_second": 166.157, | |
| "eval_steps_per_second": 20.794, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 1.416e-06, | |
| "loss": 1.0335, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "eval_accuracy": 0.4782435129740519, | |
| "eval_loss": 1.0022392272949219, | |
| "eval_runtime": 30.0244, | |
| "eval_samples_per_second": 166.864, | |
| "eval_steps_per_second": 20.883, | |
| "step": 51000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 1.4437777777777779e-06, | |
| "loss": 1.0272, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "eval_accuracy": 0.48003992015968067, | |
| "eval_loss": 1.014728307723999, | |
| "eval_runtime": 30.0497, | |
| "eval_samples_per_second": 166.724, | |
| "eval_steps_per_second": 20.865, | |
| "step": 52000 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 1.471527777777778e-06, | |
| "loss": 1.0315, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "eval_accuracy": 0.4848303393213573, | |
| "eval_loss": 0.9981946349143982, | |
| "eval_runtime": 30.2291, | |
| "eval_samples_per_second": 165.734, | |
| "eval_steps_per_second": 20.742, | |
| "step": 53000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 1.4993055555555557e-06, | |
| "loss": 1.0291, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "eval_accuracy": 0.49021956087824353, | |
| "eval_loss": 0.9988633990287781, | |
| "eval_runtime": 30.0961, | |
| "eval_samples_per_second": 166.467, | |
| "eval_steps_per_second": 20.833, | |
| "step": 54000 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 1.5270555555555558e-06, | |
| "loss": 1.027, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "eval_accuracy": 0.48602794411177647, | |
| "eval_loss": 0.99713534116745, | |
| "eval_runtime": 30.1599, | |
| "eval_samples_per_second": 166.115, | |
| "eval_steps_per_second": 20.789, | |
| "step": 55000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 1.5548333333333335e-06, | |
| "loss": 1.0215, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "eval_accuracy": 0.46487025948103794, | |
| "eval_loss": 1.0212756395339966, | |
| "eval_runtime": 30.2641, | |
| "eval_samples_per_second": 165.543, | |
| "eval_steps_per_second": 20.718, | |
| "step": 56000 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 1.5825833333333334e-06, | |
| "loss": 1.0203, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "eval_accuracy": 0.4874251497005988, | |
| "eval_loss": 0.9981949925422668, | |
| "eval_runtime": 30.1111, | |
| "eval_samples_per_second": 166.384, | |
| "eval_steps_per_second": 20.823, | |
| "step": 57000 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "learning_rate": 1.6103611111111112e-06, | |
| "loss": 1.0238, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "eval_accuracy": 0.48562874251497007, | |
| "eval_loss": 1.0043253898620605, | |
| "eval_runtime": 30.4057, | |
| "eval_samples_per_second": 164.771, | |
| "eval_steps_per_second": 20.621, | |
| "step": 58000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 1.638111111111111e-06, | |
| "loss": 1.0211, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "eval_accuracy": 0.49820359281437127, | |
| "eval_loss": 0.9920447468757629, | |
| "eval_runtime": 30.4581, | |
| "eval_samples_per_second": 164.488, | |
| "eval_steps_per_second": 20.586, | |
| "step": 59000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 1.665888888888889e-06, | |
| "loss": 1.0236, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "eval_accuracy": 0.49241516966067866, | |
| "eval_loss": 0.9953387975692749, | |
| "eval_runtime": 30.3298, | |
| "eval_samples_per_second": 165.184, | |
| "eval_steps_per_second": 20.673, | |
| "step": 60000 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 1.693638888888889e-06, | |
| "loss": 1.0207, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "eval_accuracy": 0.49760479041916167, | |
| "eval_loss": 0.9943307042121887, | |
| "eval_runtime": 30.3886, | |
| "eval_samples_per_second": 164.865, | |
| "eval_steps_per_second": 20.633, | |
| "step": 61000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 1.7214166666666666e-06, | |
| "loss": 1.0222, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "eval_accuracy": 0.4880239520958084, | |
| "eval_loss": 1.005075454711914, | |
| "eval_runtime": 30.41, | |
| "eval_samples_per_second": 164.748, | |
| "eval_steps_per_second": 20.618, | |
| "step": 62000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 1.7491666666666667e-06, | |
| "loss": 1.0221, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "eval_accuracy": 0.5011976047904192, | |
| "eval_loss": 0.9902356266975403, | |
| "eval_runtime": 30.3384, | |
| "eval_samples_per_second": 165.137, | |
| "eval_steps_per_second": 20.667, | |
| "step": 63000 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 1.7769444444444447e-06, | |
| "loss": 1.0188, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "eval_accuracy": 0.5003992015968064, | |
| "eval_loss": 0.9907160997390747, | |
| "eval_runtime": 30.3592, | |
| "eval_samples_per_second": 165.024, | |
| "eval_steps_per_second": 20.653, | |
| "step": 64000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 1.8046944444444446e-06, | |
| "loss": 1.0187, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "eval_accuracy": 0.49820359281437127, | |
| "eval_loss": 0.9914441704750061, | |
| "eval_runtime": 30.3614, | |
| "eval_samples_per_second": 165.012, | |
| "eval_steps_per_second": 20.651, | |
| "step": 65000 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 1.8324722222222223e-06, | |
| "loss": 1.023, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "eval_accuracy": 0.5007984031936128, | |
| "eval_loss": 0.9877445101737976, | |
| "eval_runtime": 30.341, | |
| "eval_samples_per_second": 165.123, | |
| "eval_steps_per_second": 20.665, | |
| "step": 66000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 1.8602222222222222e-06, | |
| "loss": 1.0195, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "eval_accuracy": 0.49660678642714573, | |
| "eval_loss": 0.9916561245918274, | |
| "eval_runtime": 30.3344, | |
| "eval_samples_per_second": 165.159, | |
| "eval_steps_per_second": 20.67, | |
| "step": 67000 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 1.8880000000000002e-06, | |
| "loss": 1.0181, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "eval_accuracy": 0.4992015968063872, | |
| "eval_loss": 0.985427975654602, | |
| "eval_runtime": 30.3261, | |
| "eval_samples_per_second": 165.204, | |
| "eval_steps_per_second": 20.675, | |
| "step": 68000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 1.9157500000000003e-06, | |
| "loss": 1.0183, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "eval_accuracy": 0.5033932135728543, | |
| "eval_loss": 0.9862416982650757, | |
| "eval_runtime": 30.3869, | |
| "eval_samples_per_second": 164.874, | |
| "eval_steps_per_second": 20.634, | |
| "step": 69000 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 1.943527777777778e-06, | |
| "loss": 1.0176, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "eval_accuracy": 0.501996007984032, | |
| "eval_loss": 0.9887968897819519, | |
| "eval_runtime": 30.3292, | |
| "eval_samples_per_second": 165.187, | |
| "eval_steps_per_second": 20.673, | |
| "step": 70000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 1.9712777777777777e-06, | |
| "loss": 1.0108, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "eval_accuracy": 0.49520958083832334, | |
| "eval_loss": 0.992777407169342, | |
| "eval_runtime": 30.4, | |
| "eval_samples_per_second": 164.803, | |
| "eval_steps_per_second": 20.625, | |
| "step": 71000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 1.9990555555555557e-06, | |
| "loss": 1.0172, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "eval_accuracy": 0.49141716566866267, | |
| "eval_loss": 0.9982264041900635, | |
| "eval_runtime": 30.36, | |
| "eval_samples_per_second": 165.02, | |
| "eval_steps_per_second": 20.652, | |
| "step": 72000 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "learning_rate": 2.026805555555556e-06, | |
| "loss": 1.0151, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "eval_accuracy": 0.49720558882235527, | |
| "eval_loss": 0.9918563365936279, | |
| "eval_runtime": 30.3051, | |
| "eval_samples_per_second": 165.318, | |
| "eval_steps_per_second": 20.69, | |
| "step": 73000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 2.0545833333333335e-06, | |
| "loss": 1.0129, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "eval_accuracy": 0.49840319361277446, | |
| "eval_loss": 0.9832558631896973, | |
| "eval_runtime": 30.3597, | |
| "eval_samples_per_second": 165.022, | |
| "eval_steps_per_second": 20.652, | |
| "step": 74000 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "learning_rate": 2.0823611111111115e-06, | |
| "loss": 1.006, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "eval_accuracy": 0.5033932135728543, | |
| "eval_loss": 0.9880185127258301, | |
| "eval_runtime": 30.2854, | |
| "eval_samples_per_second": 165.426, | |
| "eval_steps_per_second": 20.703, | |
| "step": 75000 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 2.1101111111111113e-06, | |
| "loss": 1.0069, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "eval_accuracy": 0.5045908183632735, | |
| "eval_loss": 0.9803372025489807, | |
| "eval_runtime": 30.3285, | |
| "eval_samples_per_second": 165.191, | |
| "eval_steps_per_second": 20.674, | |
| "step": 76000 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "learning_rate": 2.137888888888889e-06, | |
| "loss": 1.0106, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "eval_accuracy": 0.47724550898203594, | |
| "eval_loss": 1.0122599601745605, | |
| "eval_runtime": 30.3162, | |
| "eval_samples_per_second": 165.258, | |
| "eval_steps_per_second": 20.682, | |
| "step": 77000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 2.1656388888888888e-06, | |
| "loss": 1.0019, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "eval_accuracy": 0.5045908183632735, | |
| "eval_loss": 0.9800828099250793, | |
| "eval_runtime": 30.2724, | |
| "eval_samples_per_second": 165.497, | |
| "eval_steps_per_second": 20.712, | |
| "step": 78000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 2.1934166666666667e-06, | |
| "loss": 1.0093, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "eval_accuracy": 0.493812375249501, | |
| "eval_loss": 0.9990217089653015, | |
| "eval_runtime": 30.2198, | |
| "eval_samples_per_second": 165.785, | |
| "eval_steps_per_second": 20.748, | |
| "step": 79000 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "learning_rate": 2.221166666666667e-06, | |
| "loss": 1.0039, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "eval_accuracy": 0.5067864271457085, | |
| "eval_loss": 0.98616623878479, | |
| "eval_runtime": 30.3059, | |
| "eval_samples_per_second": 165.315, | |
| "eval_steps_per_second": 20.689, | |
| "step": 80000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 2.2489444444444446e-06, | |
| "loss": 1.0062, | |
| "step": 81000 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "eval_accuracy": 0.5013972055888224, | |
| "eval_loss": 0.9929732084274292, | |
| "eval_runtime": 30.2754, | |
| "eval_samples_per_second": 165.481, | |
| "eval_steps_per_second": 20.71, | |
| "step": 81000 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 2.2766944444444444e-06, | |
| "loss": 1.0145, | |
| "step": 82000 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "eval_accuracy": 0.5051896207584831, | |
| "eval_loss": 0.9891365766525269, | |
| "eval_runtime": 30.204, | |
| "eval_samples_per_second": 165.872, | |
| "eval_steps_per_second": 20.759, | |
| "step": 82000 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 2.3044722222222224e-06, | |
| "loss": 1.0012, | |
| "step": 83000 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "eval_accuracy": 0.5067864271457085, | |
| "eval_loss": 0.984894871711731, | |
| "eval_runtime": 30.2196, | |
| "eval_samples_per_second": 165.787, | |
| "eval_steps_per_second": 20.748, | |
| "step": 83000 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "learning_rate": 2.3322222222222223e-06, | |
| "loss": 1.0072, | |
| "step": 84000 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "eval_accuracy": 0.5075848303393213, | |
| "eval_loss": 0.979631781578064, | |
| "eval_runtime": 30.1636, | |
| "eval_samples_per_second": 166.094, | |
| "eval_steps_per_second": 20.787, | |
| "step": 84000 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 2.36e-06, | |
| "loss": 1.0038, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "eval_accuracy": 0.5035928143712575, | |
| "eval_loss": 0.9814818501472473, | |
| "eval_runtime": 30.2922, | |
| "eval_samples_per_second": 165.389, | |
| "eval_steps_per_second": 20.698, | |
| "step": 85000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 2.38775e-06, | |
| "loss": 1.0107, | |
| "step": 86000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "eval_accuracy": 0.5117764471057884, | |
| "eval_loss": 0.9743403792381287, | |
| "eval_runtime": 30.2926, | |
| "eval_samples_per_second": 165.387, | |
| "eval_steps_per_second": 20.698, | |
| "step": 86000 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 2.415527777777778e-06, | |
| "loss": 1.0011, | |
| "step": 87000 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "eval_accuracy": 0.5073852295409181, | |
| "eval_loss": 0.9760627150535583, | |
| "eval_runtime": 30.3925, | |
| "eval_samples_per_second": 164.843, | |
| "eval_steps_per_second": 20.63, | |
| "step": 87000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "learning_rate": 2.443277777777778e-06, | |
| "loss": 1.0045, | |
| "step": 88000 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "eval_accuracy": 0.5101796407185629, | |
| "eval_loss": 0.9735654592514038, | |
| "eval_runtime": 30.2088, | |
| "eval_samples_per_second": 165.846, | |
| "eval_steps_per_second": 20.756, | |
| "step": 88000 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 2.4710555555555555e-06, | |
| "loss": 0.999, | |
| "step": 89000 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "eval_accuracy": 0.4996007984031936, | |
| "eval_loss": 0.9788551926612854, | |
| "eval_runtime": 30.2584, | |
| "eval_samples_per_second": 165.574, | |
| "eval_steps_per_second": 20.721, | |
| "step": 89000 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 2.498805555555556e-06, | |
| "loss": 1.0075, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "eval_accuracy": 0.5095808383233533, | |
| "eval_loss": 0.972398579120636, | |
| "eval_runtime": 30.1697, | |
| "eval_samples_per_second": 166.061, | |
| "eval_steps_per_second": 20.782, | |
| "step": 90000 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "learning_rate": 2.5265833333333334e-06, | |
| "loss": 1.0085, | |
| "step": 91000 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "eval_accuracy": 0.5073852295409181, | |
| "eval_loss": 0.9791931509971619, | |
| "eval_runtime": 30.1687, | |
| "eval_samples_per_second": 166.066, | |
| "eval_steps_per_second": 20.783, | |
| "step": 91000 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 2.5543333333333337e-06, | |
| "loss": 1.0022, | |
| "step": 92000 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "eval_accuracy": 0.5105788423153692, | |
| "eval_loss": 0.9835652112960815, | |
| "eval_runtime": 30.389, | |
| "eval_samples_per_second": 164.862, | |
| "eval_steps_per_second": 20.632, | |
| "step": 92000 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 2.5821111111111112e-06, | |
| "loss": 1.006, | |
| "step": 93000 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "eval_accuracy": 0.5127744510978044, | |
| "eval_loss": 0.9716958403587341, | |
| "eval_runtime": 30.2822, | |
| "eval_samples_per_second": 165.444, | |
| "eval_steps_per_second": 20.705, | |
| "step": 93000 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "learning_rate": 2.609861111111111e-06, | |
| "loss": 1.0001, | |
| "step": 94000 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "eval_accuracy": 0.49880239520958086, | |
| "eval_loss": 0.982902467250824, | |
| "eval_runtime": 30.3141, | |
| "eval_samples_per_second": 165.27, | |
| "eval_steps_per_second": 20.683, | |
| "step": 94000 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "learning_rate": 2.637638888888889e-06, | |
| "loss": 1.0018, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "eval_accuracy": 0.5117764471057884, | |
| "eval_loss": 0.9711886644363403, | |
| "eval_runtime": 30.3419, | |
| "eval_samples_per_second": 165.118, | |
| "eval_steps_per_second": 20.665, | |
| "step": 95000 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 2.6653888888888894e-06, | |
| "loss": 1.001, | |
| "step": 96000 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "eval_accuracy": 0.5085828343313373, | |
| "eval_loss": 0.9692357182502747, | |
| "eval_runtime": 30.2793, | |
| "eval_samples_per_second": 165.46, | |
| "eval_steps_per_second": 20.707, | |
| "step": 96000 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 2.693166666666667e-06, | |
| "loss": 0.9967, | |
| "step": 97000 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "eval_accuracy": 0.5035928143712575, | |
| "eval_loss": 0.9811190366744995, | |
| "eval_runtime": 30.3522, | |
| "eval_samples_per_second": 165.062, | |
| "eval_steps_per_second": 20.657, | |
| "step": 97000 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "learning_rate": 2.7209166666666668e-06, | |
| "loss": 0.9963, | |
| "step": 98000 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "eval_accuracy": 0.5117764471057884, | |
| "eval_loss": 0.9744167923927307, | |
| "eval_runtime": 30.2586, | |
| "eval_samples_per_second": 165.573, | |
| "eval_steps_per_second": 20.721, | |
| "step": 98000 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 2.7486944444444448e-06, | |
| "loss": 0.9923, | |
| "step": 99000 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "eval_accuracy": 0.5155688622754491, | |
| "eval_loss": 0.9705401659011841, | |
| "eval_runtime": 30.3652, | |
| "eval_samples_per_second": 164.992, | |
| "eval_steps_per_second": 20.649, | |
| "step": 99000 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "learning_rate": 2.7764444444444446e-06, | |
| "loss": 0.9925, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "eval_accuracy": 0.5161676646706587, | |
| "eval_loss": 0.967511773109436, | |
| "eval_runtime": 30.3989, | |
| "eval_samples_per_second": 164.809, | |
| "eval_steps_per_second": 20.626, | |
| "step": 100000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 2.804222222222222e-06, | |
| "loss": 0.9965, | |
| "step": 101000 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "eval_accuracy": 0.5179640718562875, | |
| "eval_loss": 0.9703009724617004, | |
| "eval_runtime": 30.306, | |
| "eval_samples_per_second": 165.314, | |
| "eval_steps_per_second": 20.689, | |
| "step": 101000 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 2.8319722222222225e-06, | |
| "loss": 0.994, | |
| "step": 102000 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "eval_accuracy": 0.5027944111776447, | |
| "eval_loss": 0.9799131155014038, | |
| "eval_runtime": 30.4057, | |
| "eval_samples_per_second": 164.772, | |
| "eval_steps_per_second": 20.621, | |
| "step": 102000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "learning_rate": 2.8597500000000004e-06, | |
| "loss": 0.9989, | |
| "step": 103000 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "eval_accuracy": 0.5175648702594811, | |
| "eval_loss": 0.965115487575531, | |
| "eval_runtime": 30.5041, | |
| "eval_samples_per_second": 164.24, | |
| "eval_steps_per_second": 20.555, | |
| "step": 103000 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "learning_rate": 2.8875000000000003e-06, | |
| "loss": 0.9909, | |
| "step": 104000 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "eval_accuracy": 0.5005988023952096, | |
| "eval_loss": 0.9864978790283203, | |
| "eval_runtime": 30.393, | |
| "eval_samples_per_second": 164.84, | |
| "eval_steps_per_second": 20.63, | |
| "step": 104000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 2.915277777777778e-06, | |
| "loss": 0.9873, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "eval_accuracy": 0.5017964071856288, | |
| "eval_loss": 0.9913762211799622, | |
| "eval_runtime": 30.3351, | |
| "eval_samples_per_second": 165.155, | |
| "eval_steps_per_second": 20.669, | |
| "step": 105000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 2.9430277777777777e-06, | |
| "loss": 0.9826, | |
| "step": 106000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "eval_accuracy": 0.5201596806387225, | |
| "eval_loss": 0.9676294922828674, | |
| "eval_runtime": 30.2604, | |
| "eval_samples_per_second": 165.563, | |
| "eval_steps_per_second": 20.72, | |
| "step": 106000 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "learning_rate": 2.9708055555555557e-06, | |
| "loss": 0.9832, | |
| "step": 107000 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "eval_accuracy": 0.5173652694610779, | |
| "eval_loss": 0.9818444848060608, | |
| "eval_runtime": 30.3828, | |
| "eval_samples_per_second": 164.896, | |
| "eval_steps_per_second": 20.637, | |
| "step": 107000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "learning_rate": 2.998555555555556e-06, | |
| "loss": 0.984, | |
| "step": 108000 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "eval_accuracy": 0.511377245508982, | |
| "eval_loss": 0.9720831513404846, | |
| "eval_runtime": 30.2651, | |
| "eval_samples_per_second": 165.537, | |
| "eval_steps_per_second": 20.717, | |
| "step": 108000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 3.0263333333333336e-06, | |
| "loss": 0.982, | |
| "step": 109000 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "eval_accuracy": 0.5209580838323353, | |
| "eval_loss": 0.9712573885917664, | |
| "eval_runtime": 30.204, | |
| "eval_samples_per_second": 165.872, | |
| "eval_steps_per_second": 20.759, | |
| "step": 109000 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "learning_rate": 3.0540833333333334e-06, | |
| "loss": 0.9876, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "eval_accuracy": 0.5265469061876248, | |
| "eval_loss": 0.9630448222160339, | |
| "eval_runtime": 30.2241, | |
| "eval_samples_per_second": 165.762, | |
| "eval_steps_per_second": 20.745, | |
| "step": 110000 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "learning_rate": 3.0818611111111114e-06, | |
| "loss": 0.9826, | |
| "step": 111000 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "eval_accuracy": 0.524750499001996, | |
| "eval_loss": 0.9607908129692078, | |
| "eval_runtime": 30.5687, | |
| "eval_samples_per_second": 163.893, | |
| "eval_steps_per_second": 20.511, | |
| "step": 111000 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "learning_rate": 3.1096111111111113e-06, | |
| "loss": 0.9922, | |
| "step": 112000 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "eval_accuracy": 0.5295409181636727, | |
| "eval_loss": 0.9560614824295044, | |
| "eval_runtime": 30.2441, | |
| "eval_samples_per_second": 165.652, | |
| "eval_steps_per_second": 20.731, | |
| "step": 112000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "learning_rate": 3.137388888888889e-06, | |
| "loss": 0.9784, | |
| "step": 113000 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "eval_accuracy": 0.5245508982035928, | |
| "eval_loss": 0.9655715823173523, | |
| "eval_runtime": 30.341, | |
| "eval_samples_per_second": 165.123, | |
| "eval_steps_per_second": 20.665, | |
| "step": 113000 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 3.165138888888889e-06, | |
| "loss": 0.9819, | |
| "step": 114000 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "eval_accuracy": 0.5255489021956088, | |
| "eval_loss": 0.9573906660079956, | |
| "eval_runtime": 30.3563, | |
| "eval_samples_per_second": 165.04, | |
| "eval_steps_per_second": 20.655, | |
| "step": 114000 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 3.192916666666667e-06, | |
| "loss": 0.9829, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "eval_accuracy": 0.5325349301397205, | |
| "eval_loss": 0.9549714922904968, | |
| "eval_runtime": 30.4521, | |
| "eval_samples_per_second": 164.521, | |
| "eval_steps_per_second": 20.59, | |
| "step": 115000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 3.220666666666667e-06, | |
| "loss": 0.9783, | |
| "step": 116000 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "eval_accuracy": 0.5281437125748503, | |
| "eval_loss": 0.9588763117790222, | |
| "eval_runtime": 30.2962, | |
| "eval_samples_per_second": 165.368, | |
| "eval_steps_per_second": 20.696, | |
| "step": 116000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 3.248444444444445e-06, | |
| "loss": 0.9843, | |
| "step": 117000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "eval_accuracy": 0.5281437125748503, | |
| "eval_loss": 0.9612971544265747, | |
| "eval_runtime": 30.4047, | |
| "eval_samples_per_second": 164.777, | |
| "eval_steps_per_second": 20.622, | |
| "step": 117000 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 3.276194444444445e-06, | |
| "loss": 0.9856, | |
| "step": 118000 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "eval_accuracy": 0.5283433133732535, | |
| "eval_loss": 0.9553202986717224, | |
| "eval_runtime": 30.3493, | |
| "eval_samples_per_second": 165.078, | |
| "eval_steps_per_second": 20.659, | |
| "step": 118000 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "learning_rate": 3.3039722222222223e-06, | |
| "loss": 0.9788, | |
| "step": 119000 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "eval_accuracy": 0.5363273453093812, | |
| "eval_loss": 0.9543020129203796, | |
| "eval_runtime": 30.4457, | |
| "eval_samples_per_second": 164.555, | |
| "eval_steps_per_second": 20.594, | |
| "step": 119000 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "learning_rate": 3.331694444444445e-06, | |
| "loss": 0.9832, | |
| "step": 120000 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "eval_accuracy": 0.5127744510978044, | |
| "eval_loss": 0.9705111384391785, | |
| "eval_runtime": 30.2656, | |
| "eval_samples_per_second": 165.534, | |
| "eval_steps_per_second": 20.717, | |
| "step": 120000 | |
| }, | |
| { | |
| "epoch": 4.93, | |
| "learning_rate": 3.359472222222222e-06, | |
| "loss": 0.9753, | |
| "step": 121000 | |
| }, | |
| { | |
| "epoch": 4.93, | |
| "eval_accuracy": 0.5327345309381237, | |
| "eval_loss": 0.9542443156242371, | |
| "eval_runtime": 30.3153, | |
| "eval_samples_per_second": 165.263, | |
| "eval_steps_per_second": 20.683, | |
| "step": 121000 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "learning_rate": 3.38725e-06, | |
| "loss": 0.9784, | |
| "step": 122000 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "eval_accuracy": 0.5367265469061876, | |
| "eval_loss": 0.951139509677887, | |
| "eval_runtime": 30.2562, | |
| "eval_samples_per_second": 165.586, | |
| "eval_steps_per_second": 20.723, | |
| "step": 122000 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "learning_rate": 3.415027777777778e-06, | |
| "loss": 0.9781, | |
| "step": 123000 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "eval_accuracy": 0.5171656686626747, | |
| "eval_loss": 0.9652427434921265, | |
| "eval_runtime": 30.3026, | |
| "eval_samples_per_second": 165.332, | |
| "eval_steps_per_second": 20.691, | |
| "step": 123000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 1.2855966958485504e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |