---
license: cc-by-nc-4.0
base_model: nguyenvulebinh/vi-mrc-large
tags:
- generated_from_trainer
model-index:
- name: Best-clean-ViMrcbase-TFIDF-largeversion-1
  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. -->

# Best-clean-ViMrcbase-TFIDF-largeversion-1

This model is a fine-tuned version of [nguyenvulebinh/vi-mrc-large](https://huggingface.co/nguyenvulebinh/vi-mrc-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7574

## 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: 1e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0999        | 1.0   | 614  | 0.7506          |
| 0.5279        | 2.0   | 1228 | 0.7574          |


### Framework versions

- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3