1-finetuned-amazon-en-es
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2586
- Rouge1: 25.0
- Rouge2: 16.6667
- Rougel: 20.8333
- Rougelsum: 25.0
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: 5.6e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.6378 | 1.0 | 8 | 0.2616 | 27.7778 | 26.1905 | 27.7778 | 27.7778 |
| 0.2698 | 2.0 | 16 | 0.2586 | 25.0 | 16.6667 | 20.8333 | 25.0 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.2
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