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translate_fukkkiii-hindi-a
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2745
- Bleu: 0.969
- Gen Len: 13.878
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: 16
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.311 | 1.0 | 625 | 0.2950 | 0.0819 | 13.875 |
| 0.2976 | 2.0 | 1250 | 0.2894 | 0.1709 | 13.8705 |
| 0.2983 | 3.0 | 1875 | 0.2873 | 0.325 | 13.9675 |
| 0.2859 | 4.0 | 2500 | 0.2847 | 0.3271 | 13.85 |
| 0.2829 | 5.0 | 3125 | 0.2822 | 0.47 | 13.8655 |
| 0.2799 | 6.0 | 3750 | 0.2813 | 0.3258 | 13.853 |
| 0.2809 | 7.0 | 4375 | 0.2802 | 0.4139 | 13.9745 |
| 0.2753 | 8.0 | 5000 | 0.2781 | 0.7067 | 13.883 |
| 0.2733 | 9.0 | 5625 | 0.2768 | 0.6897 | 13.809 |
| 0.277 | 10.0 | 6250 | 0.2754 | 0.6447 | 13.8995 |
| 0.2673 | 11.0 | 6875 | 0.2756 | 0.9871 | 13.9095 |
| 0.2683 | 12.0 | 7500 | 0.2757 | 1.0343 | 13.797 |
| 0.2702 | 13.0 | 8125 | 0.2750 | 0.9205 | 13.8755 |
| 0.2658 | 14.0 | 8750 | 0.2749 | 0.9886 | 13.87 |
| 0.2636 | 15.0 | 9375 | 0.2747 | 0.9838 | 13.88 |
| 0.2659 | 16.0 | 10000 | 0.2745 | 0.969 | 13.878 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
