---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
model-index:
- name: Evidence_Retrieval_model_vit5_base_word
  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. -->

# Evidence_Retrieval_model_vit5_base_word

This model is a fine-tuned version of [VietAI/vit5-base](https://huggingface.co/VietAI/vit5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5457

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.4579        | 1.0   | 1047 | 0.4647          |
| 0.306         | 2.0   | 2094 | 0.3441          |
| 0.2501        | 3.0   | 3141 | 0.3864          |
| 0.1737        | 4.0   | 4188 | 0.5220          |
| 0.1354        | 5.0   | 5235 | 0.5457          |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2