---
tags:
- generated_from_trainer
model-index:
- name: NEW_OCR_10_8wangchanberta-base-att-spm-uncased
  results: []
---

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# NEW_OCR_10_8wangchanberta-base-att-spm-uncased

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: 0.0147

## 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: 10
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 0.108         | 1.0   | 10701  | 0.0167          |
| 0.0161        | 2.0   | 21402  | 0.0140          |
| 0.0126        | 3.0   | 32103  | 0.0130          |
| 0.0105        | 4.0   | 42804  | 0.0125          |
| 0.009         | 5.0   | 53505  | 0.0135          |
| 0.008         | 6.0   | 64206  | 0.0137          |
| 0.0074        | 7.0   | 74907  | 0.0139          |
| 0.0064        | 8.0   | 85608  | 0.0143          |
| 0.0058        | 9.0   | 96309  | 0.0147          |
| 0.0054        | 10.0  | 107010 | 0.0147          |


### Framework versions

- Transformers 4.15.0
- Pytorch 1.12.1+cu113
- Datasets 1.17.0
- Tokenizers 0.10.3