---
library_name: transformers
license: mit
base_model: phoner45/phoner45-finetune-iapp-thaiqa
tags:
- generated_from_trainer
datasets:
- iapp_wiki_qa_squad
model-index:
- name: finetune_iapp_thaiqa_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# finetune_iapp_thaiqa_v2

This model is a fine-tuned version of [phoner45/phoner45-finetune-iapp-thaiqa](https://huggingface.co/phoner45/phoner45-finetune-iapp-thaiqa) on the iapp_wiki_qa_squad dataset.

## 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: 16
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 2
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1