| | --- |
| | license: mit |
| | base_model: microsoft/deberta-v3-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: DeBERTaV3_model |
| | 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. --> |
| |
|
| | # DeBERTaV3_model |
| | |
| | This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.1419 |
| | - Accuracy: 0.9615 |
| | - F1: 0.8400 |
| | - Precision: 0.875 |
| | - Recall: 0.8077 |
| | |
| | ## 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: 5 |
| | - eval_batch_size: 5 |
| | - 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 | Precision | Recall | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:| |
| | | No log | 1.0 | 26 | 0.3810 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 2.0 | 52 | 0.3740 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 3.0 | 78 | 0.3303 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 4.0 | 104 | 0.2997 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 5.0 | 130 | 0.2484 | 0.8894 | 0.2581 | 0.8 | 0.1538 | |
| | | No log | 6.0 | 156 | 0.1951 | 0.9375 | 0.6977 | 0.8824 | 0.5769 | |
| | | No log | 7.0 | 182 | 0.1752 | 0.9423 | 0.7273 | 0.8889 | 0.6154 | |
| | | No log | 8.0 | 208 | 0.1582 | 0.9519 | 0.7917 | 0.8636 | 0.7308 | |
| | | No log | 9.0 | 234 | 0.1449 | 0.9615 | 0.8400 | 0.875 | 0.8077 | |
| | | No log | 10.0 | 260 | 0.1419 | 0.9615 | 0.8400 | 0.875 | 0.8077 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| | |
