| | --- |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - accuracy |
| | model-index: |
| | - name: runs |
| | 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. --> |
| |
|
| | # runs |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 3.1137 |
| | - Accuracy: 0.0000 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 48 |
| | - seed: 444 |
| | - gradient_accumulation_steps: 3 |
| | - total_train_batch_size: 48 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine_with_restarts |
| | - lr_scheduler_warmup_ratio: 0.3 |
| | - training_steps: 100 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | | No log | 0.03 | 10 | 4.7890 | 0.1380 | |
| | | 4.9326 | 0.05 | 20 | 4.4600 | 0.1310 | |
| | | 4.9326 | 0.08 | 30 | 4.1364 | 0.0172 | |
| | | 4.1299 | 0.11 | 40 | 3.7156 | 0.0010 | |
| | | 4.1299 | 0.13 | 50 | 3.3965 | 0.0002 | |
| | | 3.4428 | 0.16 | 60 | 3.2530 | 0.0002 | |
| | | 3.4428 | 0.19 | 70 | 3.1727 | 0.0000 | |
| | | 3.1873 | 0.21 | 80 | 3.1316 | 0.0000 | |
| | | 3.1873 | 0.24 | 90 | 3.1165 | 0.0000 | |
| | | 3.1176 | 0.26 | 100 | 3.1137 | 0.0000 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.37.2 |
| | - Pytorch 2.2.0+cu121 |
| | - Datasets 2.17.0 |
| | - Tokenizers 0.15.1 |
| |
|
