|
{ |
|
"best_metric": 26.5258, |
|
"best_model_checkpoint": "/content/drive/My Drive/ArabartModel/checkpoint-6112", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 6112, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.32722513089005234, |
|
"grad_norm": 1.563672423362732, |
|
"learning_rate": 4.6727748691099475e-05, |
|
"loss": 0.0195, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.6544502617801047, |
|
"grad_norm": 1.7397737503051758, |
|
"learning_rate": 4.3455497382198955e-05, |
|
"loss": 0.0244, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.981675392670157, |
|
"grad_norm": 3.006633758544922, |
|
"learning_rate": 4.018324607329843e-05, |
|
"loss": 0.0293, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 5.626201629638672, |
|
"eval_rouge1": 25.2705, |
|
"eval_rouge2": 9.9865, |
|
"eval_rougeL": 21.8678, |
|
"eval_runtime": 372.5145, |
|
"eval_samples_per_second": 5.892, |
|
"eval_steps_per_second": 0.591, |
|
"step": 1528 |
|
}, |
|
{ |
|
"epoch": 1.3089005235602094, |
|
"grad_norm": 3.4732136726379395, |
|
"learning_rate": 4.3455497382198955e-05, |
|
"loss": 0.0456, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.6361256544502618, |
|
"grad_norm": 2.2575156688690186, |
|
"learning_rate": 4.181937172774869e-05, |
|
"loss": 0.0619, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.9633507853403143, |
|
"grad_norm": 6.030032157897949, |
|
"learning_rate": 4.018324607329843e-05, |
|
"loss": 0.0993, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 5.542174339294434, |
|
"eval_rouge1": 25.0744, |
|
"eval_rouge2": 9.8534, |
|
"eval_rougeL": 21.6992, |
|
"eval_runtime": 411.9676, |
|
"eval_samples_per_second": 5.328, |
|
"eval_steps_per_second": 0.534, |
|
"step": 3056 |
|
}, |
|
{ |
|
"epoch": 2.2905759162303667, |
|
"grad_norm": 6.401626110076904, |
|
"learning_rate": 3.8547120418848174e-05, |
|
"loss": 0.21, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 2.6178010471204187, |
|
"grad_norm": 5.806931495666504, |
|
"learning_rate": 3.691099476439791e-05, |
|
"loss": 0.3595, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.945026178010471, |
|
"grad_norm": 5.840355396270752, |
|
"learning_rate": 3.5274869109947647e-05, |
|
"loss": 0.6436, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 3.927168369293213, |
|
"eval_rouge1": 25.5914, |
|
"eval_rouge2": 10.2904, |
|
"eval_rougeL": 22.3089, |
|
"eval_runtime": 412.3529, |
|
"eval_samples_per_second": 5.323, |
|
"eval_steps_per_second": 0.534, |
|
"step": 4584 |
|
}, |
|
{ |
|
"epoch": 3.2722513089005236, |
|
"grad_norm": 5.320337772369385, |
|
"learning_rate": 3.3638743455497386e-05, |
|
"loss": 0.7617, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.599476439790576, |
|
"grad_norm": 5.708410739898682, |
|
"learning_rate": 3.2002617801047126e-05, |
|
"loss": 0.9186, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 3.9267015706806285, |
|
"grad_norm": 6.043923377990723, |
|
"learning_rate": 3.036649214659686e-05, |
|
"loss": 1.112, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 3.2077620029449463, |
|
"eval_rouge1": 26.5258, |
|
"eval_rouge2": 11.116, |
|
"eval_rougeL": 23.3381, |
|
"eval_runtime": 397.8337, |
|
"eval_samples_per_second": 5.517, |
|
"eval_steps_per_second": 0.553, |
|
"step": 6112 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 15280, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"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": 2.930549272296653e+16, |
|
"train_batch_size": 10, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|