File size: 1,626 Bytes
3dd92be |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
{
"best_metric": 0.8202860650583409,
"best_model_checkpoint": "DocLayNet/lilt-xlm-roberta-base-finetuned-DocLayNet-base_paragraphs_ml512-v1/checkpoint-200",
"epoch": 0.10660980810234541,
"eval_steps": 100,
"global_step": 200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.053304904051172705,
"eval_accuracy": 0.6321578647928374,
"eval_f1": 0.6321578647928374,
"eval_loss": 0.9594171643257141,
"eval_precision": 0.6321578647928374,
"eval_recall": 0.6321578647928374,
"eval_runtime": 69.4219,
"eval_samples_per_second": 23.148,
"eval_steps_per_second": 0.735,
"step": 100
},
{
"epoch": 0.10660980810234541,
"eval_accuracy": 0.8202860650583409,
"eval_f1": 0.8202860650583409,
"eval_loss": 0.6088714599609375,
"eval_precision": 0.8202860650583409,
"eval_recall": 0.8202860650583409,
"eval_runtime": 69.0048,
"eval_samples_per_second": 23.288,
"eval_steps_per_second": 0.739,
"step": 200
}
],
"logging_steps": 500,
"max_steps": 1876,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 445075582156800.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}
|