---
license: mit
base_model: VietAI/vit5-base
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: MRC_ER_vit5-base_syl_ViWikiFC
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# MRC_ER_vit5-base_syl_ViWikiFC

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: 3.6043
- Exact Match: 0.8057
- F1: 0.8304

## 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: 8
- eval_batch_size: 8
- 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 | Exact Match | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
| 0.5884        | 1.0   | 2093  | 1.6800          | 0.7866      | 0.8201 |
| 0.4403        | 2.0   | 4186  | 1.7782          | 0.8029      | 0.8295 |
| 0.2864        | 3.0   | 6279  | 2.1889          | 0.8067      | 0.8301 |
| 0.2193        | 4.0   | 8372  | 3.0962          | 0.8096      | 0.8337 |
| 0.1426        | 5.0   | 10465 | 3.6043          | 0.8057      | 0.8304 |


### Framework versions

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