my_awesome_opus_books_model
This model is a fine-tuned version of baidu/ernie-code-560m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 1.202
- Gen Len: 17.9792
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: 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: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0 | 1.0 | 6354 | nan | 1.202 | 17.9792 |
| 0.0 | 2.0 | 12708 | nan | 1.202 | 17.9792 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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