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opus-mt-vi-en-finetuned-ba-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-vi-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.9806
- Bleu: 0.5733
- Gen Len: 32.227
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 3.5162 | 1.0 | 360 | 4.9645 | 0.4174 | 36.227 |
| 3.0009 | 2.0 | 720 | 4.9700 | 0.6196 | 31.905 |
| 2.7889 | 3.0 | 1080 | 4.9772 | 0.6215 | 32.137 |
| 2.6722 | 4.0 | 1440 | 4.9654 | 0.6355 | 32.077 |
| 2.6167 | 5.0 | 1800 | 4.9806 | 0.5733 | 32.227 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.3
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Model tree for 21uyennt/opus-mt-vi-en-finetuned-ba-to-en
Base model
Helsinki-NLP/opus-mt-vi-en
# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("21uyennt/opus-mt-vi-en-finetuned-ba-to-en") model = AutoModelForMultimodalLM.from_pretrained("21uyennt/opus-mt-vi-en-finetuned-ba-to-en")