|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.03537944454272068, |
|
"eval_steps": 5, |
|
"global_step": 25, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0014151777817088271, |
|
"grad_norm": 0.20514807105064392, |
|
"learning_rate": 2e-05, |
|
"loss": 11.9175, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0014151777817088271, |
|
"eval_loss": 11.916790962219238, |
|
"eval_runtime": 8.5875, |
|
"eval_samples_per_second": 69.403, |
|
"eval_steps_per_second": 34.702, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0028303555634176542, |
|
"grad_norm": 0.23273983597755432, |
|
"learning_rate": 4e-05, |
|
"loss": 11.9373, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.004245533345126481, |
|
"grad_norm": 0.2802961468696594, |
|
"learning_rate": 6e-05, |
|
"loss": 11.9104, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0056607111268353084, |
|
"grad_norm": 0.23625600337982178, |
|
"learning_rate": 8e-05, |
|
"loss": 11.9218, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0070758889085441356, |
|
"grad_norm": 0.22699324786663055, |
|
"learning_rate": 0.0001, |
|
"loss": 11.915, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.0070758889085441356, |
|
"eval_loss": 11.916035652160645, |
|
"eval_runtime": 8.7182, |
|
"eval_samples_per_second": 68.362, |
|
"eval_steps_per_second": 34.181, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.008491066690252963, |
|
"grad_norm": 0.21260926127433777, |
|
"learning_rate": 0.00012, |
|
"loss": 11.9222, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.00990624447196179, |
|
"grad_norm": 0.2168704867362976, |
|
"learning_rate": 0.00014, |
|
"loss": 11.9087, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.011321422253670617, |
|
"grad_norm": 0.2431064248085022, |
|
"learning_rate": 0.00016, |
|
"loss": 11.9209, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.012736600035379445, |
|
"grad_norm": 0.19750989973545074, |
|
"learning_rate": 0.00018, |
|
"loss": 11.9141, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.014151777817088271, |
|
"grad_norm": 0.21232645213603973, |
|
"learning_rate": 0.0002, |
|
"loss": 11.9101, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.014151777817088271, |
|
"eval_loss": 11.913423538208008, |
|
"eval_runtime": 8.7577, |
|
"eval_samples_per_second": 68.054, |
|
"eval_steps_per_second": 34.027, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.015566955598797099, |
|
"grad_norm": 0.2188003957271576, |
|
"learning_rate": 0.0001996917333733128, |
|
"loss": 11.9215, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.016982133380505925, |
|
"grad_norm": 0.19326922297477722, |
|
"learning_rate": 0.00019876883405951377, |
|
"loss": 11.9316, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.01839731116221475, |
|
"grad_norm": 0.22555257380008698, |
|
"learning_rate": 0.00019723699203976766, |
|
"loss": 11.9136, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.01981248894392358, |
|
"grad_norm": 0.2110656350851059, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 11.8945, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.021227666725632408, |
|
"grad_norm": 0.20976051688194275, |
|
"learning_rate": 0.0001923879532511287, |
|
"loss": 11.9, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.021227666725632408, |
|
"eval_loss": 11.909821510314941, |
|
"eval_runtime": 8.6935, |
|
"eval_samples_per_second": 68.557, |
|
"eval_steps_per_second": 34.279, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.022642844507341234, |
|
"grad_norm": 0.24981027841567993, |
|
"learning_rate": 0.0001891006524188368, |
|
"loss": 11.8935, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.024058022289050063, |
|
"grad_norm": 0.2591237723827362, |
|
"learning_rate": 0.00018526401643540922, |
|
"loss": 11.905, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.02547320007075889, |
|
"grad_norm": 0.22017155587673187, |
|
"learning_rate": 0.00018090169943749476, |
|
"loss": 11.9214, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.026888377852467716, |
|
"grad_norm": 0.25297868251800537, |
|
"learning_rate": 0.0001760405965600031, |
|
"loss": 11.9002, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.028303555634176542, |
|
"grad_norm": 0.25911155343055725, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 11.9091, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.028303555634176542, |
|
"eval_loss": 11.90591049194336, |
|
"eval_runtime": 8.6221, |
|
"eval_samples_per_second": 69.125, |
|
"eval_steps_per_second": 34.562, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.029718733415885372, |
|
"grad_norm": 0.24711765348911285, |
|
"learning_rate": 0.00016494480483301836, |
|
"loss": 11.9044, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.031133911197594198, |
|
"grad_norm": 0.2823926508426666, |
|
"learning_rate": 0.00015877852522924732, |
|
"loss": 11.8933, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.032549088979303024, |
|
"grad_norm": 0.2736799418926239, |
|
"learning_rate": 0.0001522498564715949, |
|
"loss": 11.9053, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.03396426676101185, |
|
"grad_norm": 0.31680405139923096, |
|
"learning_rate": 0.00014539904997395468, |
|
"loss": 11.9123, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.03537944454272068, |
|
"grad_norm": 0.31065115332603455, |
|
"learning_rate": 0.000138268343236509, |
|
"loss": 11.9045, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.03537944454272068, |
|
"eval_loss": 11.901829719543457, |
|
"eval_runtime": 8.5918, |
|
"eval_samples_per_second": 69.369, |
|
"eval_steps_per_second": 34.684, |
|
"step": 25 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 50, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 37473484800.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|