SirawitC's picture
SirawitC/finetuned-WangchanBERTa-TSCC-property-HPTuned
a2ef7bb verified
metadata
library_name: transformers
base_model: airesearch/wangchanberta-base-att-spm-uncased
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: finetuned-WangchanBERTa-TSCC-property-HPTuned
    results: []

finetuned-WangchanBERTa-TSCC-property-HPTuned

This model is a fine-tuned version of airesearch/wangchanberta-base-att-spm-uncased on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.2168
  • Accuracy: 0.9451

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
  • num_epochs: 5

Training results

Training Loss Epoch Step Validation Loss Accuracy
No log 1.0 82 0.2399 0.9390
No log 2.0 164 0.5469 0.9024
No log 3.0 246 0.2480 0.9451
No log 4.0 328 0.2242 0.9451
No log 5.0 410 0.2168 0.9451

Framework versions

  • Transformers 4.44.2
  • Pytorch 2.4.0+cu121
  • Datasets 3.0.0
  • Tokenizers 0.19.1