---
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-finnlp-th
  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. -->

# sentiment-finnlp-th

This model is a fine-tuned version of [airesearch/wangchanberta-base-att-spm-uncased](https://huggingface.co/airesearch/wangchanberta-base-att-spm-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4313
- Accuracy: 0.7352

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.7732        | 1.0   | 512  | 0.7954          | 0.6452   |
| 0.5449        | 2.0   | 1024 | 0.6498          | 0.7289   |
| 0.3744        | 3.0   | 1536 | 0.7705          | 0.7318   |
| 0.2475        | 4.0   | 2048 | 1.0368          | 0.7358   |
| 0.1818        | 5.0   | 2560 | 1.1335          | 0.7392   |
| 0.1383        | 6.0   | 3072 | 1.3119          | 0.7358   |
| 0.0896        | 7.0   | 3584 | 1.4313          | 0.7352   |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3