---
library_name: transformers
base_model: 5CD-AI/Vietnamese-Sentiment-visobert
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: xlnet_classification
  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. -->

# xlnet_classification

This model is a fine-tuned version of [5CD-AI/Vietnamese-Sentiment-visobert](https://huggingface.co/5CD-AI/Vietnamese-Sentiment-visobert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4554
- F1: 0.9481

## 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: 3e-05
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 40.0

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 194  | 0.1743          | 0.9461 |
| No log        | 2.0   | 388  | 0.1837          | 0.9464 |
| 0.1681        | 3.0   | 582  | 0.1892          | 0.9444 |
| 0.1681        | 4.0   | 776  | 0.2257          | 0.9450 |
| 0.1681        | 5.0   | 970  | 0.2677          | 0.9422 |
| 0.0663        | 6.0   | 1164 | 0.2917          | 0.9369 |
| 0.0663        | 7.0   | 1358 | 0.3442          | 0.9391 |
| 0.0377        | 8.0   | 1552 | 0.3365          | 0.9417 |
| 0.0377        | 9.0   | 1746 | 0.3301          | 0.9411 |
| 0.0377        | 10.0  | 1940 | 0.3463          | 0.9428 |
| 0.0259        | 11.0  | 2134 | 0.3746          | 0.9386 |
| 0.0259        | 12.0  | 2328 | 0.4055          | 0.9436 |
| 0.0173        | 13.0  | 2522 | 0.4070          | 0.9375 |
| 0.0173        | 14.0  | 2716 | 0.4143          | 0.9419 |
| 0.0173        | 15.0  | 2910 | 0.4322          | 0.9411 |
| 0.014         | 16.0  | 3104 | 0.4182          | 0.9436 |
| 0.014         | 17.0  | 3298 | 0.4002          | 0.9442 |
| 0.014         | 18.0  | 3492 | 0.4194          | 0.9453 |
| 0.0131        | 19.0  | 3686 | 0.4223          | 0.9439 |
| 0.0131        | 20.0  | 3880 | 0.4358          | 0.9442 |
| 0.0107        | 21.0  | 4074 | 0.4565          | 0.9411 |
| 0.0107        | 22.0  | 4268 | 0.4561          | 0.9433 |
| 0.0107        | 23.0  | 4462 | 0.4366          | 0.9453 |
| 0.0094        | 24.0  | 4656 | 0.4435          | 0.9425 |
| 0.0094        | 25.0  | 4850 | 0.4527          | 0.9461 |
| 0.0091        | 26.0  | 5044 | 0.4759          | 0.9439 |
| 0.0091        | 27.0  | 5238 | 0.4518          | 0.9464 |
| 0.0091        | 28.0  | 5432 | 0.4447          | 0.9461 |
| 0.0085        | 29.0  | 5626 | 0.4533          | 0.9456 |
| 0.0085        | 30.0  | 5820 | 0.4549          | 0.9458 |
| 0.0071        | 31.0  | 6014 | 0.4527          | 0.9470 |
| 0.0071        | 32.0  | 6208 | 0.4533          | 0.9453 |
| 0.0071        | 33.0  | 6402 | 0.4554          | 0.9481 |
| 0.0072        | 34.0  | 6596 | 0.4629          | 0.9447 |
| 0.0072        | 35.0  | 6790 | 0.4726          | 0.9450 |
| 0.0072        | 36.0  | 6984 | 0.4511          | 0.9461 |
| 0.0067        | 37.0  | 7178 | 0.4571          | 0.9447 |
| 0.0067        | 38.0  | 7372 | 0.4676          | 0.9456 |
| 0.0062        | 39.0  | 7566 | 0.4640          | 0.9461 |
| 0.0062        | 40.0  | 7760 | 0.4639          | 0.9464 |


### Framework versions

- Transformers 4.48.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 3.1.0
- Tokenizers 0.21.0