metadata

library_name: transformers
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
  - generated_from_trainer
model-index:
  - name: fined-tune-thai-sentiment
    results: []

fined-tune-thai-sentiment

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4121
eval_model_preparation_time: 0.0134
eval_accuracy: {'accuracy': 0.8562874251497006}
eval_f1score: {'f1': 0.8323646257901379}
eval_runtime: 16.0554
eval_samples_per_second: 10.402
eval_steps_per_second: 1.308
step: 0

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 415
num_epochs: 10

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1