| --- |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: model_broadclass_onSet3 |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # model_broadclass_onSet3 |
|
|
| This model was trained from scratch on the None dataset. |
| It achieves the following results on the evaluation set: |
| - eval_loss: 0.1389 |
| - eval_0_precision: 1.0 |
| - eval_0_recall: 1.0 |
| - eval_0_f1-score: 1.0 |
| - eval_0_support: 23 |
| - eval_1_precision: 0.9697 |
| - eval_1_recall: 0.9697 |
| - eval_1_f1-score: 0.9697 |
| - eval_1_support: 33 |
| - eval_2_precision: 1.0 |
| - eval_2_recall: 1.0 |
| - eval_2_f1-score: 1.0 |
| - eval_2_support: 26 |
| - eval_3_precision: 0.9333 |
| - eval_3_recall: 0.9333 |
| - eval_3_f1-score: 0.9333 |
| - eval_3_support: 15 |
| - eval_accuracy: 0.9794 |
| - eval_macro avg_precision: 0.9758 |
| - eval_macro avg_recall: 0.9758 |
| - eval_macro avg_f1-score: 0.9758 |
| - eval_macro avg_support: 97 |
| - eval_weighted avg_precision: 0.9794 |
| - eval_weighted avg_recall: 0.9794 |
| - eval_weighted avg_f1-score: 0.9794 |
| - eval_weighted avg_support: 97 |
| - eval_wer: 0.1037 |
| - eval_mtrix: [[0, 1, 2, 3], [0, 23, 0, 0, 0], [1, 0, 32, 0, 1], [2, 0, 0, 26, 0], [3, 0, 1, 0, 14]] |
| - eval_runtime: 5.6481 |
| - eval_samples_per_second: 17.174 |
| - eval_steps_per_second: 2.302 |
| - step: 0 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 0.0003 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 16 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 200 |
| - num_epochs: 80 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.25.1 |
| - Pytorch 1.13.0+cu116 |
| - Datasets 2.8.0 |
| - Tokenizers 0.13.2 |
| |
