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my_translator_vi-en
This model is a fine-tuned version of VietAI/vit5-base on the mt_eng_vietnamese dataset. It achieves the following results on the evaluation set:
- Loss: 3.3819
- Bleu: 2.6085
- Gen Len: 18.36
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: 4
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|---|
| 3.9425 | 1.0 | 667 | 3.5155 | 2.3213 | 17.32 |
| 3.2655 | 2.0 | 1334 | 3.3819 | 2.6085 | 18.36 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
