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my_awesome_opus_books_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9057
- Bleu: 29.3162
- Gen Len: 15.717
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.9791 | 1.0 | 3664 | 1.5817 | 12.4561 | 16.1979 |
| 1.6202 | 2.0 | 7328 | 1.2880 | 19.0562 | 15.9795 |
| 1.4416 | 3.0 | 10992 | 1.1459 | 22.7423 | 15.8924 |
| 1.3125 | 4.0 | 14656 | 1.0593 | 25.0954 | 15.8198 |
| 1.2393 | 5.0 | 18320 | 1.0012 | 26.7562 | 15.7967 |
| 1.2054 | 6.0 | 21984 | 0.9643 | 27.7478 | 15.7463 |
| 1.1683 | 7.0 | 25648 | 0.9365 | 28.4696 | 15.7299 |
| 1.1341 | 8.0 | 29312 | 0.9188 | 29.0187 | 15.7388 |
| 1.1205 | 9.0 | 32976 | 0.9089 | 29.3004 | 15.7252 |
| 1.11 | 10.0 | 36640 | 0.9057 | 29.3162 | 15.717 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
