bart-large-translation-spa-pbb
This model is a fine-tuned version of facebook/bart-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6252
- Bleu: 0.233
- Gen Len: 11.0184
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 2.6025 | 1.0 | 304 | 3.0281 | 0.0 | 7.7339 |
| 3.694 | 2.0 | 608 | 2.8050 | 0.0 | 5.3307 |
| 2.3214 | 3.0 | 912 | 2.6729 | 0.0 | 11.5929 |
| 2.0 | 4.0 | 1216 | 2.6280 | 0.4389 | 10.8669 |
| 2.0676 | 5.0 | 1520 | 2.6142 | 1.5675 | 9.6904 |
| 1.8422 | 6.0 | 1824 | 2.6252 | 0.233 | 11.0184 |
Framework versions
- Transformers 4.35.2
- Pytorch 1.13.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0
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Base model
facebook/bart-large