|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.9747899159663865, |
|
"eval_steps": 8, |
|
"global_step": 29, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.03361344537815126, |
|
"grad_norm": 0.115234375, |
|
"learning_rate": 2e-05, |
|
"loss": 1.768, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.03361344537815126, |
|
"eval_loss": 1.8648816347122192, |
|
"eval_runtime": 18.2501, |
|
"eval_samples_per_second": 2.74, |
|
"eval_steps_per_second": 0.384, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.06722689075630252, |
|
"grad_norm": 0.10888671875, |
|
"learning_rate": 4e-05, |
|
"loss": 1.7838, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.10084033613445378, |
|
"grad_norm": 0.126953125, |
|
"learning_rate": 6e-05, |
|
"loss": 1.9413, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.13445378151260504, |
|
"grad_norm": 0.0986328125, |
|
"learning_rate": 8e-05, |
|
"loss": 1.7757, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.16806722689075632, |
|
"grad_norm": 0.12255859375, |
|
"learning_rate": 0.0001, |
|
"loss": 1.735, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.20168067226890757, |
|
"grad_norm": 0.10791015625, |
|
"learning_rate": 0.00012, |
|
"loss": 1.8269, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.23529411764705882, |
|
"grad_norm": 0.11669921875, |
|
"learning_rate": 0.00014, |
|
"loss": 1.8552, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.2689075630252101, |
|
"grad_norm": 0.119140625, |
|
"learning_rate": 0.00016, |
|
"loss": 1.8084, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.2689075630252101, |
|
"eval_loss": 1.8317129611968994, |
|
"eval_runtime": 19.6984, |
|
"eval_samples_per_second": 2.538, |
|
"eval_steps_per_second": 0.355, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.3025210084033613, |
|
"grad_norm": 0.12255859375, |
|
"learning_rate": 0.00018, |
|
"loss": 1.7158, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.33613445378151263, |
|
"grad_norm": 0.134765625, |
|
"learning_rate": 0.0002, |
|
"loss": 1.8702, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.3697478991596639, |
|
"grad_norm": 0.12890625, |
|
"learning_rate": 0.00019995608365087946, |
|
"loss": 1.8307, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.40336134453781514, |
|
"grad_norm": 0.11474609375, |
|
"learning_rate": 0.00019982437317643217, |
|
"loss": 1.6583, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.4369747899159664, |
|
"grad_norm": 0.134765625, |
|
"learning_rate": 0.0001996049842615217, |
|
"loss": 1.6663, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.47058823529411764, |
|
"grad_norm": 0.12060546875, |
|
"learning_rate": 0.00019929810960135172, |
|
"loss": 1.7388, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.5042016806722689, |
|
"grad_norm": 0.126953125, |
|
"learning_rate": 0.0001989040187322164, |
|
"loss": 1.7485, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.5378151260504201, |
|
"grad_norm": 0.1259765625, |
|
"learning_rate": 0.00019842305779475968, |
|
"loss": 1.633, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.5378151260504201, |
|
"eval_loss": 1.7832777500152588, |
|
"eval_runtime": 19.6833, |
|
"eval_samples_per_second": 2.54, |
|
"eval_steps_per_second": 0.356, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.5714285714285714, |
|
"grad_norm": 0.12109375, |
|
"learning_rate": 0.0001978556492299504, |
|
"loss": 1.8373, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.6050420168067226, |
|
"grad_norm": 0.1337890625, |
|
"learning_rate": 0.0001972022914080411, |
|
"loss": 1.6552, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.6386554621848739, |
|
"grad_norm": 0.126953125, |
|
"learning_rate": 0.00019646355819083589, |
|
"loss": 1.8113, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.6722689075630253, |
|
"grad_norm": 0.1220703125, |
|
"learning_rate": 0.00019564009842765225, |
|
"loss": 1.6544, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.7058823529411765, |
|
"grad_norm": 0.11669921875, |
|
"learning_rate": 0.00019473263538541914, |
|
"loss": 1.6649, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.7394957983193278, |
|
"grad_norm": 0.0986328125, |
|
"learning_rate": 0.0001937419661134121, |
|
"loss": 1.6868, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.773109243697479, |
|
"grad_norm": 0.126953125, |
|
"learning_rate": 0.00019266896074318334, |
|
"loss": 1.7762, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.8067226890756303, |
|
"grad_norm": 0.11279296875, |
|
"learning_rate": 0.00019151456172430183, |
|
"loss": 1.6737, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.8067226890756303, |
|
"eval_loss": 1.7643933296203613, |
|
"eval_runtime": 19.6308, |
|
"eval_samples_per_second": 2.547, |
|
"eval_steps_per_second": 0.357, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.8403361344537815, |
|
"grad_norm": 0.1298828125, |
|
"learning_rate": 0.00019027978299657436, |
|
"loss": 1.6401, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.8739495798319328, |
|
"grad_norm": 0.099609375, |
|
"learning_rate": 0.00018896570909947475, |
|
"loss": 1.7068, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.907563025210084, |
|
"grad_norm": 0.12060546875, |
|
"learning_rate": 0.0001875734942195637, |
|
"loss": 1.8112, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.9411764705882353, |
|
"grad_norm": 0.1162109375, |
|
"learning_rate": 0.00018610436117673555, |
|
"loss": 1.6596, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.9747899159663865, |
|
"grad_norm": 0.12890625, |
|
"learning_rate": 0.0001845596003501826, |
|
"loss": 1.7936, |
|
"step": 29 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 116, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 29, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3366220896141312.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|