my_awesome_en_vi_model
This model is a fine-tuned version of CLAck/en-vi on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4345
- Bleu: 26.4223
- Gen Len: 33.0654
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.3586 | 1.0 | 8333 | 0.4580 | 24.9697 | 32.9346 |
| 0.3303 | 2.0 | 16666 | 0.4345 | 26.4223 | 33.0654 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
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Base model
CLAck/en-vi