vinai_v2_meddict_meddictgem_4
This model is a fine-tuned version of vinai/vinai-translate-en2vi-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7118
- Bleu: 1.7109
- Gen Len: 443.6874
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: 3e-05
- train_batch_size: 128
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 5.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.7157 | 1.0 | 1004 | 0.6089 | 3.1446 | 336.4111 |
| 0.4009 | 2.0 | 2008 | 0.5921 | 2.4359 | 400.2499 |
| 0.2952 | 3.0 | 3012 | 0.6199 | 2.1161 | 426.1636 |
| 0.2621 | 4.0 | 4016 | 0.6688 | 1.9086 | 438.8465 |
| 0.296 | 5.0 | 5020 | 0.7118 | 1.7109 | 443.6874 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.7.0
- Datasets 4.1.1
- Tokenizers 0.22.1
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vinai/vinai-translate-en2vi-v2