translate_fukkkiii-hindi
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3002
- Bleu: 0.0227
- Gen Len: 13.904
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: 7
Training results
Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
---|---|---|---|---|---|
0.4656 | 1.0 | 625 | 0.3461 | 0.0 | 14.251 |
0.3613 | 2.0 | 1250 | 0.3216 | 0.0 | 13.9865 |
0.349 | 3.0 | 1875 | 0.3123 | 0.001 | 13.9975 |
0.3238 | 4.0 | 2500 | 0.3061 | 0.0024 | 13.962 |
0.3192 | 5.0 | 3125 | 0.3023 | 0.0179 | 13.845 |
0.3147 | 6.0 | 3750 | 0.3015 | 0.0298 | 13.88 |
0.3156 | 7.0 | 4375 | 0.3002 | 0.0227 | 13.904 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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Base model
google-t5/t5-small