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---
license: apache-2.0
base_model: CLAck/en-vi
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: my_awesome_en_vi_model
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# my_awesome_en_vi_model
This model is a fine-tuned version of [CLAck/en-vi](https://huggingface.co/CLAck/en-vi) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4345
- Bleu: 26.4223
- Gen Len: 33.0654
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|
| 0.3586 | 1.0 | 8333 | 0.4580 | 24.9697 | 32.9346 |
| 0.3303 | 2.0 | 16666 | 0.4345 | 26.4223 | 33.0654 |
### Framework versions
- Transformers 4.37.2
- Pytorch 2.0.1+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
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