| --- |
| license: mit |
| base_model: facebook/mbart-large-50 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: bcoqa-MBART |
| 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. --> |
|
|
| # bcoqa-MBART |
|
|
| This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0963 |
|
|
| ## 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: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - num_epochs: 1 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:-----:|:---------------:| |
| | 0.1509 | 0.29 | 10000 | 0.1205 | |
| | 0.1307 | 0.58 | 20000 | 0.1060 | |
| | 0.121 | 0.86 | 30000 | 0.0963 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.38.2 |
| - Pytorch 2.1.1+cu121 |
| - Datasets 2.16.1 |
| - Tokenizers 0.15.1 |
|
|
