metadata

license: apache-2.0
base_model: distilbert/distilbert-base-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 distilbert/distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.8116
eval_accuracy: {'accuracy': 0.6904761904761905}
eval_f1score: {'f1': 0.5717269740966423}
eval_runtime: 3.0078
eval_samples_per_second: 41.891
eval_steps_per_second: 5.319
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: 2e-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

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1