---
license: mit
base_model: thangvip/vi-t5-base-finetune-rewriter-5-epochs
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: vi-t5-reward-model-4-epochs
  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. -->

# vi-t5-reward-model-4-epochs

This model is a fine-tuned version of [thangvip/vi-t5-base-finetune-rewriter-5-epochs](https://huggingface.co/thangvip/vi-t5-base-finetune-rewriter-5-epochs) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4478
- Accuracy: 0.8238

## 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: 1.41e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0