---
library_name: transformers
base_model: tringuyen-uit/MRC_ER_InfoXLM-large_syl_DSC
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: MRC_ER_InfoXLM-large_syl_DSC
  results: []
---

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

This model is a fine-tuned version of [tringuyen-uit/MRC_ER_InfoXLM-large_syl_DSC](https://huggingface.co/tringuyen-uit/MRC_ER_InfoXLM-large_syl_DSC) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9789
- Exact Match: 0.7016
- F1: 0.8574

## 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: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Exact Match | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:-----------:|:------:|
| 0.6848        | 1.0   | 12728 | 0.9842          | 0.6596      | 0.8277 |
| 0.6025        | 2.0   | 25456 | 0.9789          | 0.7016      | 0.8574 |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1