|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.040417649040080834, |
|
"eval_steps": 5, |
|
"global_step": 30, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0013472549680026945, |
|
"eval_loss": 0.7738643288612366, |
|
"eval_runtime": 63.2289, |
|
"eval_samples_per_second": 4.95, |
|
"eval_steps_per_second": 2.483, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0040417649040080834, |
|
"grad_norm": 0.36795666813850403, |
|
"learning_rate": 6e-05, |
|
"loss": 0.7352, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.006736274840013472, |
|
"eval_loss": 0.7524806261062622, |
|
"eval_runtime": 63.7409, |
|
"eval_samples_per_second": 4.911, |
|
"eval_steps_per_second": 2.463, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.008083529808016167, |
|
"grad_norm": 0.5426688194274902, |
|
"learning_rate": 0.00012, |
|
"loss": 0.7558, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.01212529471202425, |
|
"grad_norm": 0.45750245451927185, |
|
"learning_rate": 0.00018, |
|
"loss": 0.749, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.013472549680026945, |
|
"eval_loss": 0.6806786060333252, |
|
"eval_runtime": 63.7004, |
|
"eval_samples_per_second": 4.914, |
|
"eval_steps_per_second": 2.465, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.016167059616032334, |
|
"grad_norm": 0.3981638252735138, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 0.6151, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.020208824520040417, |
|
"grad_norm": 0.37302765250205994, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 0.574, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.020208824520040417, |
|
"eval_loss": 0.6328597068786621, |
|
"eval_runtime": 63.7, |
|
"eval_samples_per_second": 4.914, |
|
"eval_steps_per_second": 2.465, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0242505894240485, |
|
"grad_norm": 0.41704243421554565, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 0.6303, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.02694509936005389, |
|
"eval_loss": 0.6112756729125977, |
|
"eval_runtime": 63.7255, |
|
"eval_samples_per_second": 4.912, |
|
"eval_steps_per_second": 2.464, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.028292354328056584, |
|
"grad_norm": 0.3000726103782654, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 0.5173, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.03233411923206467, |
|
"grad_norm": 0.3670819103717804, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 0.6015, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.033681374200067365, |
|
"eval_loss": 0.6026643514633179, |
|
"eval_runtime": 63.7505, |
|
"eval_samples_per_second": 4.91, |
|
"eval_steps_per_second": 2.463, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.036375884136072754, |
|
"grad_norm": 0.3471182882785797, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 0.5993, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.040417649040080834, |
|
"grad_norm": 0.3501329720020294, |
|
"learning_rate": 0.0, |
|
"loss": 0.5647, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.040417649040080834, |
|
"eval_loss": 0.6006467342376709, |
|
"eval_runtime": 63.7576, |
|
"eval_samples_per_second": 4.909, |
|
"eval_steps_per_second": 2.462, |
|
"step": 30 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.7341615253225472e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|