| | --- |
| | license: mit |
| | base_model: Mikask/bdc2024-tpg |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | - precision |
| | - recall |
| | - f1 |
| | model-index: |
| | - name: bdc2024-tpg-2 |
| | 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. --> |
| |
|
| | # bdc2024-tpg-2 |
| |
|
| | This model is a fine-tuned version of [Mikask/bdc2024-tpg](https://huggingface.co/Mikask/bdc2024-tpg) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.0953 |
| | - Accuracy: 0.9825 |
| | - Balanced Accuracy: 0.9863 |
| | - Precision: 0.9832 |
| | - Recall: 0.9825 |
| | - F1: 0.9826 |
| |
|
| | ## 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: 6e-06 |
| | - 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: 3 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | Balanced Accuracy | Precision | Recall | F1 | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------------:|:---------:|:------:|:------:| |
| | | 0.0781 | 1.0 | 900 | 0.0990 | 0.9803 | 0.9779 | 0.9810 | 0.9803 | 0.9804 | |
| | | 0.0228 | 2.0 | 1800 | 0.0925 | 0.9782 | 0.9752 | 0.9788 | 0.9782 | 0.9782 | |
| | | 0.017 | 3.0 | 2700 | 0.0953 | 0.9825 | 0.9863 | 0.9832 | 0.9825 | 0.9826 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.33.1 |
| | - Pytorch 2.3.0+cu121 |
| | - Datasets 2.19.2 |
| | - Tokenizers 0.13.3 |
| |
|
