m-ric's picture
m-ric HF Staff
Model save
35e8c4a verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 6.0,
"eval_steps": 500,
"global_step": 60,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.5,
"grad_norm": 1.1611291291820123,
"learning_rate": 4.166666666666667e-05,
"loss": 1.175,
"mean_token_accuracy": 0.7521877646446228,
"num_tokens": 2465164.0,
"step": 5
},
{
"epoch": 1.0,
"grad_norm": 0.6622829891502945,
"learning_rate": 4.62962962962963e-05,
"loss": 1.0551,
"mean_token_accuracy": 0.7775114715099335,
"num_tokens": 4604565.0,
"step": 10
},
{
"epoch": 1.5,
"grad_norm": 0.3321063533662744,
"learning_rate": 4.166666666666667e-05,
"loss": 0.974,
"mean_token_accuracy": 0.7821209251880645,
"num_tokens": 7112937.0,
"step": 15
},
{
"epoch": 2.0,
"grad_norm": 0.17372883404582676,
"learning_rate": 3.7037037037037037e-05,
"loss": 0.9079,
"mean_token_accuracy": 0.797761058807373,
"num_tokens": 9211540.0,
"step": 20
},
{
"epoch": 2.5,
"grad_norm": 0.3250721867237713,
"learning_rate": 3.240740740740741e-05,
"loss": 0.8587,
"mean_token_accuracy": 0.80385662317276,
"num_tokens": 11676501.0,
"step": 25
},
{
"epoch": 3.0,
"grad_norm": 0.12878896880550417,
"learning_rate": 2.777777777777778e-05,
"loss": 0.8491,
"mean_token_accuracy": 0.8127783119678498,
"num_tokens": 13823724.0,
"step": 30
},
{
"epoch": 3.5,
"grad_norm": 0.12156986655948128,
"learning_rate": 2.314814814814815e-05,
"loss": 0.8216,
"mean_token_accuracy": 0.8109423339366912,
"num_tokens": 16296257.0,
"step": 35
},
{
"epoch": 4.0,
"grad_norm": 0.11634538375626934,
"learning_rate": 1.8518518518518518e-05,
"loss": 0.7842,
"mean_token_accuracy": 0.8188613414764404,
"num_tokens": 18424879.0,
"step": 40
},
{
"epoch": 4.5,
"grad_norm": 0.10458399531482464,
"learning_rate": 1.388888888888889e-05,
"loss": 0.7492,
"mean_token_accuracy": 0.8257159292697906,
"num_tokens": 20909688.0,
"step": 45
},
{
"epoch": 5.0,
"grad_norm": 0.10973027739730677,
"learning_rate": 9.259259259259259e-06,
"loss": 0.7812,
"mean_token_accuracy": 0.8185243546962738,
"num_tokens": 23043160.0,
"step": 50
},
{
"epoch": 5.5,
"grad_norm": 0.11172428707492313,
"learning_rate": 4.6296296296296296e-06,
"loss": 0.7663,
"mean_token_accuracy": 0.8235744714736939,
"num_tokens": 25563345.0,
"step": 55
},
{
"epoch": 6.0,
"grad_norm": 0.1207429261911167,
"learning_rate": 0.0,
"loss": 0.7442,
"mean_token_accuracy": 0.8240064084529877,
"num_tokens": 27655450.0,
"step": 60
},
{
"epoch": 6.0,
"step": 60,
"total_flos": 18782965727232.0,
"train_loss": 0.8722121318181356,
"train_runtime": 466.0776,
"train_samples_per_second": 7.853,
"train_steps_per_second": 0.129
}
],
"logging_steps": 5,
"max_steps": 60,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"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": 18782965727232.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}