metadata

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: []

finetune_iapp_thaiqa_v2

This model is a fine-tuned version of 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