GenzTranscribe-en-hi
This model is a fine-tuned version of t5-small on the opus100 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2835
- Bleu: 11.6016
- Gen Len: 14.765
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.2859 | 1.0 | 33395 | 0.2898 | 10.7407 | 14.7245 |
| 0.2733 | 2.0 | 66790 | 0.2835 | 11.6016 | 14.765 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Base model
google-t5/t5-small