| | --- |
| | license: mit |
| | base_model: microsoft/deberta-v3-small |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - f1 |
| | - precision |
| | - recall |
| | model-index: |
| | - name: my_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_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: 0.1746 |
| | - Accuracy: 0.9589 |
| | - F1: 0.8034 |
| | - Precision: 1.0 |
| | - Recall: 0.6714 |
| | |
| | ## 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 | 14 | 0.4759 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 2.0 | 28 | 0.3609 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 3.0 | 42 | 0.3394 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 4.0 | 56 | 0.3070 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 5.0 | 70 | 0.2768 | 0.875 | 0.0 | 0.0 | 0.0 | |
| | | No log | 6.0 | 84 | 0.2432 | 0.8893 | 0.2051 | 1.0 | 0.1143 | |
| | | No log | 7.0 | 98 | 0.2159 | 0.9071 | 0.4091 | 1.0 | 0.2571 | |
| | | No log | 8.0 | 112 | 0.1946 | 0.9429 | 0.7037 | 1.0 | 0.5429 | |
| | | No log | 9.0 | 126 | 0.1798 | 0.9554 | 0.7826 | 1.0 | 0.6429 | |
| | | No log | 10.0 | 140 | 0.1746 | 0.9589 | 0.8034 | 1.0 | 0.6714 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.41.2 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.19.1 |
| | |
