---
license: mit
base_model: VietAI/envit5-base
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: envit5-base-iwslt15
  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. -->

# envit5-base-iwslt15

This model is a fine-tuned version of [VietAI/envit5-base](https://huggingface.co/VietAI/envit5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2687
- Bleu: 21.8184

## 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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Bleu    |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|
| 2.0209        | 1.0   | 1250  | 1.7844          | 20.7717 |
| 1.5711        | 2.0   | 2500  | 1.7072          | 22.0149 |
| 1.2667        | 3.0   | 3750  | 1.7304          | 22.3730 |
| 1.0436        | 4.0   | 5000  | 1.7903          | 22.0901 |
| 0.8655        | 5.0   | 6250  | 1.8831          | 22.0823 |
| 0.7478        | 6.0   | 7500  | 1.9738          | 22.0309 |
| 0.6292        | 7.0   | 8750  | 2.0935          | 21.9696 |
| 0.5586        | 8.0   | 10000 | 2.1611          | 22.1045 |
| 0.5046        | 9.0   | 11250 | 2.2271          | 21.7866 |
| 0.4626        | 10.0  | 12500 | 2.2687          | 21.8184 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1