| { |
| "best_metric": 0.6951221227645874, |
| "best_model_checkpoint": "tiny_bert_km_50_v1_rte/checkpoint-10", |
| "epoch": 6.0, |
| "eval_steps": 500, |
| "global_step": 60, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.0, |
| "grad_norm": 0.6421326398849487, |
| "learning_rate": 4.9e-05, |
| "loss": 0.6977, |
| "step": 10 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.5054151624548736, |
| "eval_loss": 0.6951221227645874, |
| "eval_runtime": 0.11, |
| "eval_samples_per_second": 2518.222, |
| "eval_steps_per_second": 18.182, |
| "step": 10 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 0.6818793416023254, |
| "learning_rate": 4.8e-05, |
| "loss": 0.684, |
| "step": 20 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.49458483754512633, |
| "eval_loss": 0.7016090154647827, |
| "eval_runtime": 0.1147, |
| "eval_samples_per_second": 2414.683, |
| "eval_steps_per_second": 17.435, |
| "step": 20 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 0.6151508092880249, |
| "learning_rate": 4.7e-05, |
| "loss": 0.6682, |
| "step": 30 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.5018050541516246, |
| "eval_loss": 0.7009462714195251, |
| "eval_runtime": 0.1166, |
| "eval_samples_per_second": 2376.571, |
| "eval_steps_per_second": 17.159, |
| "step": 30 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 0.5758317708969116, |
| "learning_rate": 4.600000000000001e-05, |
| "loss": 0.6498, |
| "step": 40 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.48736462093862815, |
| "eval_loss": 0.7171741127967834, |
| "eval_runtime": 0.143, |
| "eval_samples_per_second": 1937.287, |
| "eval_steps_per_second": 13.988, |
| "step": 40 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 0.9044778943061829, |
| "learning_rate": 4.5e-05, |
| "loss": 0.6256, |
| "step": 50 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.5126353790613718, |
| "eval_loss": 0.7283922433853149, |
| "eval_runtime": 0.1117, |
| "eval_samples_per_second": 2479.088, |
| "eval_steps_per_second": 17.9, |
| "step": 50 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 0.8710564374923706, |
| "learning_rate": 4.4000000000000006e-05, |
| "loss": 0.5891, |
| "step": 60 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.5054151624548736, |
| "eval_loss": 0.7591274380683899, |
| "eval_runtime": 0.1101, |
| "eval_samples_per_second": 2516.177, |
| "eval_steps_per_second": 18.167, |
| "step": 60 |
| }, |
| { |
| "epoch": 6.0, |
| "step": 60, |
| "total_flos": 391780256993280.0, |
| "train_loss": 0.6523992617925009, |
| "train_runtime": 15.3656, |
| "train_samples_per_second": 8102.502, |
| "train_steps_per_second": 32.54 |
| } |
| ], |
| "logging_steps": 1, |
| "max_steps": 500, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 50, |
| "save_steps": 500, |
| "total_flos": 391780256993280.0, |
| "train_batch_size": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|