opus-mt-en-fr-finetuned-en-to-fr
This model is a fine-tuned version of Helsinki-NLP/opus-mt-en-fr on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2652
- Bleu: 32.1335
- Gen Len: 29.421
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: 128
- eval_batch_size: 128
- 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 |
|---|---|---|---|---|---|
| 0.9379 | 1.0 | 7813 | 1.2654 | 32.3231 | 29.4617 |
| 0.9105 | 2.0 | 15626 | 1.2652 | 32.1335 | 29.421 |
Framework versions
- Transformers 4.32.1
- Pytorch 1.12.1
- Datasets 2.21.0
- Tokenizers 0.13.2
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Model tree for sriram-sanjeev9s/opus-mt-en-fr-finetuned-en-to-fr
Base model
Helsinki-NLP/opus-mt-en-fr