|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 59.67567567567568, |
|
"eval_steps": 276, |
|
"global_step": 2760, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 5.967567567567568, |
|
"grad_norm": 1.919080138206482, |
|
"learning_rate": 9.007246376811595e-06, |
|
"loss": 1.2383, |
|
"step": 276 |
|
}, |
|
{ |
|
"epoch": 5.967567567567568, |
|
"eval_accuracy": 0.24171382376717865, |
|
"eval_loss": 2.6388285160064697, |
|
"eval_runtime": 4.0175, |
|
"eval_samples_per_second": 307.904, |
|
"eval_steps_per_second": 15.433, |
|
"step": 276 |
|
}, |
|
{ |
|
"epoch": 11.935135135135136, |
|
"grad_norm": 4.005405426025391, |
|
"learning_rate": 8.007246376811595e-06, |
|
"loss": 0.9769, |
|
"step": 552 |
|
}, |
|
{ |
|
"epoch": 11.935135135135136, |
|
"eval_accuracy": 0.22473726758286175, |
|
"eval_loss": 2.817387580871582, |
|
"eval_runtime": 3.8543, |
|
"eval_samples_per_second": 320.941, |
|
"eval_steps_per_second": 16.086, |
|
"step": 552 |
|
}, |
|
{ |
|
"epoch": 17.9027027027027, |
|
"grad_norm": 5.196224689483643, |
|
"learning_rate": 7.007246376811595e-06, |
|
"loss": 0.8157, |
|
"step": 828 |
|
}, |
|
{ |
|
"epoch": 17.9027027027027, |
|
"eval_accuracy": 0.21476690918889788, |
|
"eval_loss": 3.148566961288452, |
|
"eval_runtime": 3.8369, |
|
"eval_samples_per_second": 322.399, |
|
"eval_steps_per_second": 16.159, |
|
"step": 828 |
|
}, |
|
{ |
|
"epoch": 23.87027027027027, |
|
"grad_norm": 5.394821643829346, |
|
"learning_rate": 6.007246376811595e-06, |
|
"loss": 0.7322, |
|
"step": 1104 |
|
}, |
|
{ |
|
"epoch": 23.87027027027027, |
|
"eval_accuracy": 0.20796281325788196, |
|
"eval_loss": 3.3019931316375732, |
|
"eval_runtime": 3.8785, |
|
"eval_samples_per_second": 318.936, |
|
"eval_steps_per_second": 15.985, |
|
"step": 1104 |
|
}, |
|
{ |
|
"epoch": 29.83783783783784, |
|
"grad_norm": 4.061520576477051, |
|
"learning_rate": 5.0072463768115946e-06, |
|
"loss": 0.6777, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 29.83783783783784, |
|
"eval_accuracy": 0.20258690379951497, |
|
"eval_loss": 3.393256187438965, |
|
"eval_runtime": 3.8192, |
|
"eval_samples_per_second": 323.891, |
|
"eval_steps_per_second": 16.234, |
|
"step": 1380 |
|
}, |
|
{ |
|
"epoch": 35.8054054054054, |
|
"grad_norm": 4.986082077026367, |
|
"learning_rate": 4.007246376811594e-06, |
|
"loss": 0.6466, |
|
"step": 1656 |
|
}, |
|
{ |
|
"epoch": 35.8054054054054, |
|
"eval_accuracy": 0.19954190245216924, |
|
"eval_loss": 3.4180140495300293, |
|
"eval_runtime": 3.841, |
|
"eval_samples_per_second": 322.055, |
|
"eval_steps_per_second": 16.142, |
|
"step": 1656 |
|
}, |
|
{ |
|
"epoch": 41.77297297297297, |
|
"grad_norm": 4.486128807067871, |
|
"learning_rate": 3.0072463768115946e-06, |
|
"loss": 0.6273, |
|
"step": 1932 |
|
}, |
|
{ |
|
"epoch": 41.77297297297297, |
|
"eval_accuracy": 0.1971359279362513, |
|
"eval_loss": 3.438514471054077, |
|
"eval_runtime": 3.7802, |
|
"eval_samples_per_second": 327.233, |
|
"eval_steps_per_second": 16.401, |
|
"step": 1932 |
|
}, |
|
{ |
|
"epoch": 47.74054054054054, |
|
"grad_norm": 3.447795867919922, |
|
"learning_rate": 2.0108695652173916e-06, |
|
"loss": 0.6188, |
|
"step": 2208 |
|
}, |
|
{ |
|
"epoch": 47.74054054054054, |
|
"eval_accuracy": 0.19533144704931285, |
|
"eval_loss": 3.467123031616211, |
|
"eval_runtime": 3.8671, |
|
"eval_samples_per_second": 319.876, |
|
"eval_steps_per_second": 16.033, |
|
"step": 2208 |
|
}, |
|
{ |
|
"epoch": 53.70810810810811, |
|
"grad_norm": 5.680208683013916, |
|
"learning_rate": 1.0108695652173914e-06, |
|
"loss": 0.6051, |
|
"step": 2484 |
|
}, |
|
{ |
|
"epoch": 53.70810810810811, |
|
"eval_accuracy": 0.19437707715799873, |
|
"eval_loss": 3.4630978107452393, |
|
"eval_runtime": 3.837, |
|
"eval_samples_per_second": 322.388, |
|
"eval_steps_per_second": 16.158, |
|
"step": 2484 |
|
}, |
|
{ |
|
"epoch": 59.67567567567568, |
|
"grad_norm": 3.523763656616211, |
|
"learning_rate": 1.0869565217391305e-08, |
|
"loss": 0.6049, |
|
"step": 2760 |
|
}, |
|
{ |
|
"epoch": 59.67567567567568, |
|
"eval_accuracy": 0.19345189975747776, |
|
"eval_loss": 3.4764957427978516, |
|
"eval_runtime": 3.842, |
|
"eval_samples_per_second": 321.968, |
|
"eval_steps_per_second": 16.137, |
|
"step": 2760 |
|
}, |
|
{ |
|
"epoch": 59.67567567567568, |
|
"step": 2760, |
|
"total_flos": 1.4462122119191654e+17, |
|
"train_loss": 0.7543496670930282, |
|
"train_runtime": 3692.6545, |
|
"train_samples_per_second": 150.006, |
|
"train_steps_per_second": 0.747 |
|
} |
|
], |
|
"logging_steps": 276, |
|
"max_steps": 2760, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 60, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.4462122119191654e+17, |
|
"train_batch_size": 25, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|