| --- |
| library_name: transformers |
| license: apache-2.0 |
| base_model: Heit39/bart-base_opus |
| tags: |
| - generated_from_trainer |
| metrics: |
| - bleu |
| model-index: |
| - name: bart-base_opus |
| 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-base_opus |
| |
| This model is a fine-tuned version of [Heit39/bart-base_opus](https://huggingface.co/Heit39/bart-base_opus) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4335 |
| - Bleu: 5.418 |
| - Gen Len: 18.8368 |
| |
| ## 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: 2e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - seed: 42 |
| - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 2 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |
| |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| |
| | 1.7055 | 1.0 | 6355 | 1.4818 | 5.1722 | 18.8348 | |
| | 1.5835 | 2.0 | 12710 | 1.4335 | 5.418 | 18.8368 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.46.3 |
| - Pytorch 2.5.1+cu121 |
| - Datasets 3.1.0 |
| - Tokenizers 0.20.3 |
| |
