dadashzadeh's picture
Update README.md
d2ef458
metadata
license: apache-2.0
base_model: HooshvareLab/roberta-fa-zwnj-base
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: bert-base-Sentiment-persian
    results: []
datasets:
  - hezarai/sentiment-dksf
language:
  - fa
pipeline_tag: text-classification

bert-base-Sentiment-persian

This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4350
  • Accuracy: 0.8298

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: 3

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.5814 1.0 3576 0.4350 0.8298
0.433 2.0 7152 0.4646 0.8307
0.313 3.0 10728 0.5334 0.8458

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.0
  • Tokenizers 0.15.0