| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 2.0, |
| "eval_steps": 1000, |
| "global_step": 10464, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.00019116803670426305, |
| "grad_norm": 4.807868003845215, |
| "learning_rate": 0.0, |
| "loss": 2.5242, |
| "step": 1 |
| }, |
| { |
| "epoch": 0.19116803670426305, |
| "grad_norm": 3.5757293701171875, |
| "learning_rate": 1.4319159101767798e-05, |
| "loss": 1.9554, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.19116803670426305, |
| "eval_cosine_accuracy": 0.9553137421607971, |
| "eval_loss": 1.039905071258545, |
| "eval_runtime": 24.1175, |
| "eval_samples_per_second": 392.496, |
| "eval_steps_per_second": 1.534, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.3823360734085261, |
| "grad_norm": 3.9157936573028564, |
| "learning_rate": 2.8652651696129955e-05, |
| "loss": 1.4719, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.3823360734085261, |
| "eval_cosine_accuracy": 0.9632368683815002, |
| "eval_loss": 0.9348638653755188, |
| "eval_runtime": 29.104, |
| "eval_samples_per_second": 325.248, |
| "eval_steps_per_second": 1.271, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.5735041101127891, |
| "grad_norm": 3.248283863067627, |
| "learning_rate": 2.8556635335351283e-05, |
| "loss": 1.2229, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.5735041101127891, |
| "eval_cosine_accuracy": 0.9708430171012878, |
| "eval_loss": 0.8906580209732056, |
| "eval_runtime": 23.3307, |
| "eval_samples_per_second": 405.731, |
| "eval_steps_per_second": 1.586, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.7646721468170522, |
| "grad_norm": 3.514542579650879, |
| "learning_rate": 2.696351760395093e-05, |
| "loss": 1.1579, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.7646721468170522, |
| "eval_cosine_accuracy": 0.9724276065826416, |
| "eval_loss": 0.8390598297119141, |
| "eval_runtime": 23.2953, |
| "eval_samples_per_second": 406.348, |
| "eval_steps_per_second": 1.588, |
| "step": 4000 |
| }, |
| { |
| "epoch": 0.9558401835213153, |
| "grad_norm": 3.2615766525268555, |
| "learning_rate": 2.5371992990281982e-05, |
| "loss": 1.6785, |
| "step": 5000 |
| }, |
| { |
| "epoch": 0.9558401835213153, |
| "eval_cosine_accuracy": 0.9715825319290161, |
| "eval_loss": 0.8355301022529602, |
| "eval_runtime": 23.317, |
| "eval_samples_per_second": 405.97, |
| "eval_steps_per_second": 1.587, |
| "step": 5000 |
| }, |
| { |
| "epoch": 1.1469520351614753, |
| "grad_norm": 3.2241148948669434, |
| "learning_rate": 2.3778875258881633e-05, |
| "loss": 1.5581, |
| "step": 6000 |
| }, |
| { |
| "epoch": 1.1469520351614753, |
| "eval_cosine_accuracy": 0.9743291735649109, |
| "eval_loss": 0.8016239404678345, |
| "eval_runtime": 23.5346, |
| "eval_samples_per_second": 402.216, |
| "eval_steps_per_second": 1.572, |
| "step": 6000 |
| }, |
| { |
| "epoch": 1.3380470093636538, |
| "grad_norm": 3.1033902168273926, |
| "learning_rate": 2.218735064521268e-05, |
| "loss": 1.1703, |
| "step": 7000 |
| }, |
| { |
| "epoch": 1.3380470093636538, |
| "eval_cosine_accuracy": 0.9749630093574524, |
| "eval_loss": 0.7846724390983582, |
| "eval_runtime": 23.495, |
| "eval_samples_per_second": 402.895, |
| "eval_steps_per_second": 1.575, |
| "step": 7000 |
| }, |
| { |
| "epoch": 1.5291419835658322, |
| "grad_norm": 2.888745069503784, |
| "learning_rate": 2.059423291381233e-05, |
| "loss": 1.1501, |
| "step": 8000 |
| }, |
| { |
| "epoch": 1.5291419835658322, |
| "eval_cosine_accuracy": 0.9768645763397217, |
| "eval_loss": 0.7773452401161194, |
| "eval_runtime": 23.6912, |
| "eval_samples_per_second": 399.558, |
| "eval_steps_per_second": 1.562, |
| "step": 8000 |
| }, |
| { |
| "epoch": 1.7202369577680106, |
| "grad_norm": 3.1285414695739746, |
| "learning_rate": 1.900270830014338e-05, |
| "loss": 1.1301, |
| "step": 9000 |
| }, |
| { |
| "epoch": 1.7202369577680106, |
| "eval_cosine_accuracy": 0.9761250615119934, |
| "eval_loss": 0.7771484851837158, |
| "eval_runtime": 23.6285, |
| "eval_samples_per_second": 400.618, |
| "eval_steps_per_second": 1.566, |
| "step": 9000 |
| }, |
| { |
| "epoch": 1.9113319319701891, |
| "grad_norm": 7.133597373962402, |
| "learning_rate": 1.740959056874303e-05, |
| "loss": 1.1102, |
| "step": 10000 |
| }, |
| { |
| "epoch": 1.9113319319701891, |
| "eval_cosine_accuracy": 0.9766532778739929, |
| "eval_loss": 0.7554724216461182, |
| "eval_runtime": 23.6719, |
| "eval_samples_per_second": 399.884, |
| "eval_steps_per_second": 1.563, |
| "step": 10000 |
| } |
| ], |
| "logging_steps": 1000, |
| "max_steps": 20924, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 4, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 256, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
