---
base_model: tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: MRC_ER_vit5-large_syl_ViWikiFC
  results: []
---

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# MRC_ER_vit5-large_syl_ViWikiFC

This model is a fine-tuned version of [tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC](https://huggingface.co/tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.5576
- Exact Match: 0.8024
- F1: 0.8241

## 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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
| 0.3388        | 1.0   | 8369  | 2.1133          | 0.7995      | 0.8224 |
| 0.3827        | 2.0   | 16738 | 2.3313          | 0.8029      | 0.8255 |
| 0.0881        | 3.0   | 25107 | 3.5576          | 0.8024      | 0.8241 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.2.1
- Datasets 2.19.2
- Tokenizers 0.19.1