| { | |
| "best_metric": 0.7703425408958412, | |
| "best_model_checkpoint": "models_intermediate/intermediate_it5-base/checkpoint-50000", | |
| "epoch": 25.0, | |
| "eval_steps": 10000, | |
| "global_step": 50000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 3.9200000000000004e-05, | |
| "loss": 3.7449, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3.8400000000000005e-05, | |
| "loss": 0.4206, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 3.76e-05, | |
| "loss": 0.3315, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3.680000000000001e-05, | |
| "loss": 0.2858, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.2659, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3.52e-05, | |
| "loss": 0.2467, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 3.44e-05, | |
| "loss": 0.231, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 3.3600000000000004e-05, | |
| "loss": 0.233, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 3.28e-05, | |
| "loss": 0.2216, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 3.2000000000000005e-05, | |
| "loss": 0.2117, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 0.18562966585159302, | |
| "eval_p-value": 0.0, | |
| "eval_runtime": 91.1994, | |
| "eval_samples_per_second": 43.86, | |
| "eval_spearman": 0.5467240872218808, | |
| "eval_steps_per_second": 5.482, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 3.1200000000000006e-05, | |
| "loss": 0.2064, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 3.0400000000000004e-05, | |
| "loss": 0.2039, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 2.96e-05, | |
| "loss": 0.1986, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 2.8800000000000002e-05, | |
| "loss": 0.1935, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 2.8e-05, | |
| "loss": 0.1918, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 2.7200000000000004e-05, | |
| "loss": 0.1848, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 2.6400000000000005e-05, | |
| "loss": 0.1854, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 2.5600000000000002e-05, | |
| "loss": 0.1826, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 2.4800000000000003e-05, | |
| "loss": 0.1725, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 2.4e-05, | |
| "loss": 0.1817, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 0.16969460248947144, | |
| "eval_p-value": 0.0, | |
| "eval_runtime": 104.6636, | |
| "eval_samples_per_second": 38.218, | |
| "eval_spearman": 0.6838117625451964, | |
| "eval_steps_per_second": 4.777, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "learning_rate": 2.32e-05, | |
| "loss": 0.1685, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "learning_rate": 2.2400000000000002e-05, | |
| "loss": 0.1759, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "learning_rate": 2.1600000000000003e-05, | |
| "loss": 0.17, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "learning_rate": 2.08e-05, | |
| "loss": 0.1672, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 2e-05, | |
| "loss": 0.1606, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "learning_rate": 1.9200000000000003e-05, | |
| "loss": 0.1669, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 13.5, | |
| "learning_rate": 1.8400000000000003e-05, | |
| "loss": 0.1615, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "learning_rate": 1.76e-05, | |
| "loss": 0.1608, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 14.5, | |
| "learning_rate": 1.6800000000000002e-05, | |
| "loss": 0.1615, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 0.154, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_loss": 0.15203040838241577, | |
| "eval_p-value": 0.0, | |
| "eval_runtime": 105.6332, | |
| "eval_samples_per_second": 37.867, | |
| "eval_spearman": 0.7306849120858863, | |
| "eval_steps_per_second": 4.733, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 15.5, | |
| "learning_rate": 1.5200000000000002e-05, | |
| "loss": 0.1533, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "learning_rate": 1.4400000000000001e-05, | |
| "loss": 0.1561, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 16.5, | |
| "learning_rate": 1.3600000000000002e-05, | |
| "loss": 0.1534, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "learning_rate": 1.2800000000000001e-05, | |
| "loss": 0.1522, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 1.2e-05, | |
| "loss": 0.1492, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "learning_rate": 1.1200000000000001e-05, | |
| "loss": 0.1516, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 18.5, | |
| "learning_rate": 1.04e-05, | |
| "loss": 0.1455, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "learning_rate": 9.600000000000001e-06, | |
| "loss": 0.151, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 19.5, | |
| "learning_rate": 8.8e-06, | |
| "loss": 0.1454, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 0.1485, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_loss": 0.14644727110862732, | |
| "eval_p-value": 0.0, | |
| "eval_runtime": 209.1893, | |
| "eval_samples_per_second": 19.121, | |
| "eval_spearman": 0.7611950719272746, | |
| "eval_steps_per_second": 2.39, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 20.5, | |
| "learning_rate": 7.2000000000000005e-06, | |
| "loss": 0.1462, | |
| "step": 41000 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "learning_rate": 6.4000000000000006e-06, | |
| "loss": 0.1462, | |
| "step": 42000 | |
| }, | |
| { | |
| "epoch": 21.5, | |
| "learning_rate": 5.600000000000001e-06, | |
| "loss": 0.1406, | |
| "step": 43000 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "learning_rate": 4.800000000000001e-06, | |
| "loss": 0.1467, | |
| "step": 44000 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 0.1428, | |
| "step": 45000 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "learning_rate": 3.2000000000000003e-06, | |
| "loss": 0.1436, | |
| "step": 46000 | |
| }, | |
| { | |
| "epoch": 23.5, | |
| "learning_rate": 2.4000000000000003e-06, | |
| "loss": 0.1454, | |
| "step": 47000 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "learning_rate": 1.6000000000000001e-06, | |
| "loss": 0.1409, | |
| "step": 48000 | |
| }, | |
| { | |
| "epoch": 24.5, | |
| "learning_rate": 8.000000000000001e-07, | |
| "loss": 0.1399, | |
| "step": 49000 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.1435, | |
| "step": 50000 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_loss": 0.14494818449020386, | |
| "eval_p-value": 0.0, | |
| "eval_runtime": 178.9079, | |
| "eval_samples_per_second": 22.358, | |
| "eval_spearman": 0.7703425408958412, | |
| "eval_steps_per_second": 2.795, | |
| "step": 50000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 50000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 25, | |
| "save_steps": 10000, | |
| "total_flos": 1.369396740096e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |