---
library_name: transformers
base_model: clicknext/phayathaibert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: IPAC_Ticket_Classification_50class
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# IPAC_Ticket_Classification_50class

This model is a fine-tuned version of [clicknext/phayathaibert](https://huggingface.co/clicknext/phayathaibert) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.6759
- Accuracy: 0.0837

## 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: 0.0002
- train_batch_size: 14
- eval_batch_size: 14
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 3.5711        | 1.0   | 14412 | 3.6759          | 0.0837   |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1