| | --- |
| | license: mit |
| | base_model: microsoft/deberta-base |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: deberta_textclassification |
| | 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. --> |
| |
|
| | # deberta_textclassification |
| | |
| | This model is a fine-tuned version of [microsoft/deberta-base](https://huggingface.co/microsoft/deberta-base) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.3919 |
| | - Accuracy: 0.9156 |
| | |
| | ## 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 | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 1.0 | 180 | 0.2849 | 0.8906 | |
| | | No log | 2.0 | 360 | 0.4328 | 0.8375 | |
| | | 0.3096 | 3.0 | 540 | 0.2765 | 0.9156 | |
| | | 0.3096 | 4.0 | 720 | 0.3247 | 0.9125 | |
| | | 0.3096 | 5.0 | 900 | 0.3919 | 0.9156 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.42.4 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.19.1 |
| | |
