---
license: cc-by-nc-4.0
base_model: nguyenvulebinh/vi-mrc-base
tags:
- generated_from_trainer
model-index:
- name: Evidence_Retrieval_model_vi_mrc
  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_vi_mrc

This model is a fine-tuned version of [nguyenvulebinh/vi-mrc-base](https://huggingface.co/nguyenvulebinh/vi-mrc-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4764

## 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: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.5132        | 1.0   | 524  | 0.3571          |
| 0.2579        | 2.0   | 1048 | 0.3149          |
| 0.1958        | 3.0   | 1572 | 0.3707          |
| 0.1473        | 4.0   | 2096 | 0.4362          |
| 0.1066        | 5.0   | 2620 | 0.4764          |


### Framework versions

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