| --- |
| tags: |
| - generated_from_trainer |
| metrics: |
| - f1 |
| - accuracy |
| model-index: |
| - name: ber4 |
| 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. --> |
|
|
| # ber4 |
|
|
| This model was trained from scratch on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0477 |
| - F1: 0.0 |
| - Roc Auc: 0.5 |
| - Accuracy: 0.0 |
| - F1-macro: 0.5400 |
| - Precision-micro: 0.0 |
| - Precision-macro: 0.0 |
| - Recall-micro: 0.0 |
| - Recall-macro: 0.0 |
|
|
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 5 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | F1-macro | Precision-micro | Precision-macro | Recall-micro | Recall-macro | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|:--------:|:---------------:|:---------------:|:------------:|:------------:| |
| | No log | 1.0 | 121 | 0.2044 | 0.0038 | 0.4993 | 0.0 | 0.4692 | 0.0020 | 0.0002 | 0.1244 | 0.0563 | |
| | No log | 2.0 | 242 | 0.0895 | 0.0 | 0.5 | 0.0 | 0.5400 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 3.0 | 363 | 0.0610 | 0.0 | 0.5 | 0.0 | 0.5400 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | No log | 4.0 | 484 | 0.0506 | 0.0 | 0.5 | 0.0 | 0.5400 | 0.0 | 0.0 | 0.0 | 0.0 | |
| | 0.17 | 5.0 | 605 | 0.0477 | 0.0 | 0.5 | 0.0 | 0.5400 | 0.0 | 0.0 | 0.0 | 0.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.26.1 |
| - Pytorch 1.13.1+cu116 |
| - Datasets 2.10.1 |
| - Tokenizers 0.13.2 |
|
|
