my_awesome_peft_finetuned_helsinki_model
This model is a fine-tuned version of Helsinki-NLP/opus-mt-ar-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2304
- Bleu: 45.042
- Gen Len: 15.21
Model description
More information needed
Intended uses & limitations
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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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.377 | 1.0 | 2500 | 1.2377 | 45.1725 | 15.2305 |
| 1.3663 | 2.0 | 5000 | 1.2313 | 45.0712 | 15.219 |
| 1.3591 | 3.0 | 7500 | 1.2304 | 45.042 | 15.21 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
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Model tree for Elalimy/my_awesome_peft_finetuned_helsinki_model
Base model
Helsinki-NLP/opus-mt-ar-en