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translate_model_v3
This model is a fine-tuned version of Helsinki-NLP/opus-mt-hi-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.6727
- Bleu: 6.6745
- Gen Len: 27.1065
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 |
|---|---|---|---|---|---|
| 2.6385 | 1.0 | 500 | 1.8932 | 2.803 | 37.358 |
| 1.9321 | 2.0 | 1000 | 1.6727 | 6.6745 | 27.1065 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3
