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english-hindi-bbb
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4443
- Bleu: 0.2327
- Gen Len: 18.8353
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: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.4066 | 1.0 | 625 | 0.4151 | 0.1734 | 18.941 |
| 0.9564 | 2.0 | 1250 | 0.4408 | 0.287 | 18.87 |
| 0.7504 | 3.0 | 1875 | 0.4522 | 0.2908 | 18.8034 |
| 0.6375 | 4.0 | 2500 | 0.4377 | 0.2241 | 18.856 |
| 0.6063 | 5.0 | 3125 | 0.4465 | 0.2399 | 18.8305 |
| 0.591 | 6.0 | 3750 | 0.4443 | 0.2327 | 18.8353 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
