| | --- |
| | library_name: transformers |
| | license: mit |
| | base_model: microsoft/deberta-v3-small |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: my_DeBERTa_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. --> |
| |
|
| | # my_DeBERTa_model |
| |
|
| | This model is a fine-tuned version of [microsoft/deberta-v3-small](https://huggingface.co/microsoft/deberta-v3-small) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - eval_loss: 0.7012 |
| | - eval_model_preparation_time: 0.0087 |
| | - eval_accuracy: 0.4814 |
| | - eval_f1: 0.0747 |
| | - eval_precision: 0.0400 |
| | - eval_recall: 0.5741 |
| | - eval_runtime: 19.2911 |
| | - eval_samples_per_second: 55.777 |
| | - eval_steps_per_second: 18.61 |
| | - step: 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: 3 |
| | - eval_batch_size: 3 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 5 |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.44.2 |
| | - Pytorch 2.5.0+cu121 |
| | - Datasets 3.0.2 |
| | - Tokenizers 0.19.1 |
| | |
