t-frex-xlnet-large-cased / trainer_state.json
quim-motger's picture
Upload 10 files
111d1ac verified
{
"best_metric": 0.9972401103955841,
"best_model_checkpoint": "data/train-test/xlnet-large-cased//model/checkpoint-3352",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 3352,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.3,
"grad_norm": 0.6528932452201843,
"learning_rate": 2.552505966587112e-05,
"loss": 0.0674,
"step": 500
},
{
"epoch": 0.6,
"grad_norm": 0.035294823348522186,
"learning_rate": 2.1050119331742245e-05,
"loss": 0.0058,
"step": 1000
},
{
"epoch": 0.89,
"grad_norm": 0.07718423008918762,
"learning_rate": 1.6575178997613365e-05,
"loss": 0.0041,
"step": 1500
},
{
"epoch": 1.0,
"eval_accuracy": null,
"eval_f1": 0.9853211009174311,
"eval_loss": 0.00522511824965477,
"eval_precision": 0.9826166514181153,
"eval_recall": 0.9880404783808647,
"eval_runtime": 8.7222,
"eval_samples_per_second": 111.211,
"eval_steps_per_second": 6.994,
"step": 1676
},
{
"epoch": 1.19,
"grad_norm": 0.03843804448843002,
"learning_rate": 1.2100238663484488e-05,
"loss": 0.003,
"step": 2000
},
{
"epoch": 1.49,
"grad_norm": 0.008623383939266205,
"learning_rate": 7.625298329355609e-06,
"loss": 0.0015,
"step": 2500
},
{
"epoch": 1.79,
"grad_norm": 0.005918263457715511,
"learning_rate": 3.1503579952267305e-06,
"loss": 0.0012,
"step": 3000
},
{
"epoch": 2.0,
"eval_accuracy": null,
"eval_f1": 0.9972401103955841,
"eval_loss": 0.002058240817859769,
"eval_precision": 0.9972401103955841,
"eval_recall": 0.9972401103955841,
"eval_runtime": 8.7323,
"eval_samples_per_second": 111.082,
"eval_steps_per_second": 6.986,
"step": 3352
}
],
"logging_steps": 500,
"max_steps": 3352,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"total_flos": 6566441558618250.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}