| { |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 1.987452948557089, |
| "eval_steps": 500, |
| "global_step": 198, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.1, |
| "grad_norm": 0.13307033479213715, |
| "learning_rate": 0.0002, |
| "loss": 1.3135, |
| "step": 10 |
| }, |
| { |
| "epoch": 0.2, |
| "grad_norm": 0.25080665946006775, |
| "learning_rate": 0.0002, |
| "loss": 0.8903, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.3, |
| "grad_norm": 0.22090280055999756, |
| "learning_rate": 0.0002, |
| "loss": 1.0646, |
| "step": 30 |
| }, |
| { |
| "epoch": 0.4, |
| "grad_norm": 0.14331598579883575, |
| "learning_rate": 0.0002, |
| "loss": 1.0373, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.5, |
| "grad_norm": 0.4005136489868164, |
| "learning_rate": 0.0002, |
| "loss": 0.8402, |
| "step": 50 |
| }, |
| { |
| "epoch": 0.6, |
| "grad_norm": 0.14100393652915955, |
| "learning_rate": 0.0002, |
| "loss": 1.1971, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.7, |
| "grad_norm": 0.17817306518554688, |
| "learning_rate": 0.0002, |
| "loss": 0.8422, |
| "step": 70 |
| }, |
| { |
| "epoch": 0.8, |
| "grad_norm": 0.15485863387584686, |
| "learning_rate": 0.0002, |
| "loss": 1.0806, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.9, |
| "grad_norm": 0.13957808911800385, |
| "learning_rate": 0.0002, |
| "loss": 0.9923, |
| "step": 90 |
| }, |
| { |
| "epoch": 0.99, |
| "eval_loss": 1.075861930847168, |
| "eval_runtime": 15.627, |
| "eval_samples_per_second": 6.399, |
| "eval_steps_per_second": 0.256, |
| "step": 99 |
| }, |
| { |
| "epoch": 1.0, |
| "grad_norm": 0.17686176300048828, |
| "learning_rate": 0.0002, |
| "loss": 0.8183, |
| "step": 100 |
| }, |
| { |
| "epoch": 1.1, |
| "grad_norm": 0.13432720303535461, |
| "learning_rate": 0.0002, |
| "loss": 1.1495, |
| "step": 110 |
| }, |
| { |
| "epoch": 1.2, |
| "grad_norm": 0.16776545345783234, |
| "learning_rate": 0.0002, |
| "loss": 0.7245, |
| "step": 120 |
| }, |
| { |
| "epoch": 1.3, |
| "grad_norm": 0.12988704442977905, |
| "learning_rate": 0.0002, |
| "loss": 0.9554, |
| "step": 130 |
| }, |
| { |
| "epoch": 1.41, |
| "grad_norm": 0.1477508395910263, |
| "learning_rate": 0.0002, |
| "loss": 0.9577, |
| "step": 140 |
| }, |
| { |
| "epoch": 1.51, |
| "grad_norm": 0.2590917944908142, |
| "learning_rate": 0.0002, |
| "loss": 0.6792, |
| "step": 150 |
| }, |
| { |
| "epoch": 1.61, |
| "grad_norm": 0.13945309817790985, |
| "learning_rate": 0.0002, |
| "loss": 1.121, |
| "step": 160 |
| }, |
| { |
| "epoch": 1.71, |
| "grad_norm": 0.19059790670871735, |
| "learning_rate": 0.0002, |
| "loss": 0.6953, |
| "step": 170 |
| }, |
| { |
| "epoch": 1.81, |
| "grad_norm": 0.09515325725078583, |
| "learning_rate": 0.0002, |
| "loss": 0.9976, |
| "step": 180 |
| }, |
| { |
| "epoch": 1.91, |
| "grad_norm": 0.1453874409198761, |
| "learning_rate": 0.0002, |
| "loss": 0.8999, |
| "step": 190 |
| }, |
| { |
| "epoch": 1.99, |
| "eval_loss": 1.0925697088241577, |
| "eval_runtime": 4.0721, |
| "eval_samples_per_second": 24.557, |
| "eval_steps_per_second": 0.982, |
| "step": 198 |
| } |
| ], |
| "logging_steps": 10, |
| "max_steps": 198, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 2, |
| "save_steps": 250, |
| "total_flos": 7.115900132922491e+17, |
| "train_batch_size": 16, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|