| --- |
| license: apache-2.0 |
| base_model: facebook/bart-base |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: Bart_classifier |
| 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. --> |
|
|
| # Bart_classifier |
| |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.5262 |
| |
| ## 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: 32 |
| - eval_batch_size: 32 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.2135 | 1.0 | 219 | 0.1489 | |
| | 0.197 | 2.0 | 438 | 0.2690 | |
| | 0.1443 | 3.0 | 657 | 0.1525 | |
| | 0.1655 | 4.0 | 876 | 0.1819 | |
| | 0.0984 | 5.0 | 1095 | 0.1819 | |
| | 0.0854 | 6.0 | 1314 | 0.2220 | |
| | 0.0622 | 7.0 | 1533 | 0.2892 | |
| | 0.0446 | 8.0 | 1752 | 0.3801 | |
| | 0.0171 | 9.0 | 1971 | 0.4832 | |
| | 0.0108 | 10.0 | 2190 | 0.5262 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.41.0 |
| - Pytorch 2.3.0+cu121 |
| - Datasets 2.19.1 |
| - Tokenizers 0.19.1 |
|
|
