| | --- |
| | license: mit |
| | base_model: MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | model-index: |
| | - name: zero-shot_text_classification_fine_tuned |
| | 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. --> |
| |
|
| | # zero-shot_text_classification_fine_tuned |
| |
|
| | This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6329 |
| | - Accuracy: 0.8235 |
| | - F1: 0.8241 |
| | - Log Loss: 0.6329 |
| |
|
| | ## 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: 5e-05 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - lr_scheduler_warmup_steps: 500 |
| | - num_epochs: 5 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Log Loss | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:--------:| |
| | | No log | 1.0 | 375 | 1.1586 | 0.5505 | 0.5121 | 1.1586 | |
| | | 1.4748 | 2.0 | 750 | 0.7917 | 0.7495 | 0.7506 | 0.7917 | |
| | | 0.7813 | 3.0 | 1125 | 0.6692 | 0.798 | 0.7989 | 0.6692 | |
| | | 0.5346 | 4.0 | 1500 | 0.6359 | 0.811 | 0.8105 | 0.6359 | |
| | | 0.5346 | 5.0 | 1875 | 0.6329 | 0.8235 | 0.8241 | 0.6329 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.16.1 |
| | - Tokenizers 0.15.0 |
| | |
