| --- |
| license: mit |
| base_model: facebook/w2v-bert-2.0 |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| model-index: |
| - name: results |
| 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. --> |
|
|
| # results |
|
|
| This model is a fine-tuned version of [facebook/w2v-bert-2.0](https://huggingface.co/facebook/w2v-bert-2.0) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.6006 |
| - Accuracy: 0.5153 |
| - F1 Score Class 0: 0.0 |
| - F1 Score Class 1: 0.0 |
| - F1 Score Class 2: 0.0 |
| - F1 Score Class 3: 0.0 |
| - F1 Score Class 4: 0.0 |
| - F1 Score Class 5: 0.0 |
| - F1 Score Class 6: 0.0 |
| - F1 Score Class 7: 0.6801 |
| - F1 Score Class 8: 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: 0.0001 |
| - train_batch_size: 16 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Score Class 0 | F1 Score Class 1 | F1 Score Class 2 | F1 Score Class 3 | F1 Score Class 4 | F1 Score Class 5 | F1 Score Class 6 | F1 Score Class 7 | F1 Score Class 8 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:|:----------------:| |
| | 1.506 | 1.0 | 533 | 1.6378 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.4754 | 2.0 | 1066 | 1.6081 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.5661 | 3.0 | 1599 | 1.6086 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.5656 | 4.0 | 2132 | 1.6012 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.6768 | 5.0 | 2665 | 1.6281 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.6289 | 6.0 | 3198 | 1.6011 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.4727 | 7.0 | 3731 | 1.6015 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.5386 | 8.0 | 4264 | 1.6054 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.5436 | 9.0 | 4797 | 1.6020 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
| | 1.4974 | 10.0 | 5330 | 1.6006 | 0.5153 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.6801 | 0.0 | |
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|
| ### Framework versions |
|
|
| - Transformers 4.40.1 |
| - Pytorch 2.2.1+cu121 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
|
|
