---
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