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---
license: mit
base_model: VietAI/envit5-base
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: envit5-base
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
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: 3.3981
- Bleu: 1.1676
## 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: 32
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log | 1.0 | 4 | 3.6615 | 0.7586 |
| No log | 2.0 | 8 | 3.4541 | 1.2385 |
| No log | 3.0 | 12 | 3.3981 | 1.1676 |
### Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
|