|
{ |
|
"best_metric": 1.031199336051941, |
|
"best_model_checkpoint": "miner_id_24/checkpoint-25", |
|
"epoch": 0.0014826676155739406, |
|
"eval_steps": 5, |
|
"global_step": 25, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 5.930670462295763e-05, |
|
"grad_norm": 4.366586208343506, |
|
"learning_rate": 1e-05, |
|
"loss": 5.4323, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 5.930670462295763e-05, |
|
"eval_loss": 1.4202075004577637, |
|
"eval_runtime": 1425.4057, |
|
"eval_samples_per_second": 4.981, |
|
"eval_steps_per_second": 2.491, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.00011861340924591526, |
|
"grad_norm": 3.5335845947265625, |
|
"learning_rate": 2e-05, |
|
"loss": 5.7816, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.00017792011386887289, |
|
"grad_norm": 3.675875425338745, |
|
"learning_rate": 3e-05, |
|
"loss": 5.2777, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.00023722681849183051, |
|
"grad_norm": 3.669605255126953, |
|
"learning_rate": 4e-05, |
|
"loss": 4.786, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0002965335231147881, |
|
"grad_norm": 3.8144474029541016, |
|
"learning_rate": 5e-05, |
|
"loss": 5.1725, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.0002965335231147881, |
|
"eval_loss": 1.4089925289154053, |
|
"eval_runtime": 1427.833, |
|
"eval_samples_per_second": 4.973, |
|
"eval_steps_per_second": 2.486, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.00035584022773774577, |
|
"grad_norm": 5.1732892990112305, |
|
"learning_rate": 6e-05, |
|
"loss": 6.6594, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.00041514693236070337, |
|
"grad_norm": 5.111558437347412, |
|
"learning_rate": 7e-05, |
|
"loss": 7.1659, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.00047445363698366103, |
|
"grad_norm": 5.365387439727783, |
|
"learning_rate": 8e-05, |
|
"loss": 5.7353, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.0005337603416066186, |
|
"grad_norm": 4.601907253265381, |
|
"learning_rate": 9e-05, |
|
"loss": 5.4603, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0005930670462295762, |
|
"grad_norm": 5.3217997550964355, |
|
"learning_rate": 0.0001, |
|
"loss": 6.4354, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0005930670462295762, |
|
"eval_loss": 1.2900954484939575, |
|
"eval_runtime": 1425.9569, |
|
"eval_samples_per_second": 4.979, |
|
"eval_steps_per_second": 2.49, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0006523737508525338, |
|
"grad_norm": 4.760507583618164, |
|
"learning_rate": 9.890738003669029e-05, |
|
"loss": 5.1135, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.0007116804554754915, |
|
"grad_norm": 4.733860492706299, |
|
"learning_rate": 9.567727288213005e-05, |
|
"loss": 5.0762, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.0007709871600984491, |
|
"grad_norm": 3.5674550533294678, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 3.9928, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.0008302938647214067, |
|
"grad_norm": 4.406932353973389, |
|
"learning_rate": 8.345653031794292e-05, |
|
"loss": 4.2712, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.0008896005693443643, |
|
"grad_norm": 5.8381028175354, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 4.7663, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0008896005693443643, |
|
"eval_loss": 1.112551212310791, |
|
"eval_runtime": 1425.1082, |
|
"eval_samples_per_second": 4.982, |
|
"eval_steps_per_second": 2.491, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.0009489072739673221, |
|
"grad_norm": 4.847886085510254, |
|
"learning_rate": 6.545084971874738e-05, |
|
"loss": 5.4438, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.0010082139785902795, |
|
"grad_norm": 5.007083892822266, |
|
"learning_rate": 5.522642316338268e-05, |
|
"loss": 4.1874, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.0010675206832132373, |
|
"grad_norm": 4.6717753410339355, |
|
"learning_rate": 4.477357683661734e-05, |
|
"loss": 3.6129, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.001126827387836195, |
|
"grad_norm": 5.144303798675537, |
|
"learning_rate": 3.4549150281252636e-05, |
|
"loss": 4.2386, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.0011861340924591525, |
|
"grad_norm": 5.231932163238525, |
|
"learning_rate": 2.500000000000001e-05, |
|
"loss": 4.0511, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0011861340924591525, |
|
"eval_loss": 1.0417572259902954, |
|
"eval_runtime": 1434.6349, |
|
"eval_samples_per_second": 4.949, |
|
"eval_steps_per_second": 2.474, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.0012454407970821102, |
|
"grad_norm": 5.03507661819458, |
|
"learning_rate": 1.6543469682057106e-05, |
|
"loss": 4.1459, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.0013047475017050677, |
|
"grad_norm": 5.1348419189453125, |
|
"learning_rate": 9.549150281252633e-06, |
|
"loss": 3.7684, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.0013640542063280254, |
|
"grad_norm": 5.261707782745361, |
|
"learning_rate": 4.322727117869951e-06, |
|
"loss": 3.0605, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.001423360910950983, |
|
"grad_norm": 6.641138076782227, |
|
"learning_rate": 1.0926199633097157e-06, |
|
"loss": 3.1477, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.0014826676155739406, |
|
"grad_norm": 5.031643867492676, |
|
"learning_rate": 0.0, |
|
"loss": 3.6754, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.0014826676155739406, |
|
"eval_loss": 1.031199336051941, |
|
"eval_runtime": 1426.5631, |
|
"eval_samples_per_second": 4.977, |
|
"eval_steps_per_second": 2.488, |
|
"step": 25 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 25, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 10, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 2, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 7084989141221376.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|