turkish_sentiment3 / README.md
SenswiseData's picture
Upload 9 files
327566e verified
metadata
license: mit
base_model: VRLLab/TurkishBERTweet
tags:
  - generated_from_trainer
metrics:
  - accuracy
model-index:
  - name: turkish_sentiment2
    results: []

turkish_sentiment2

This model is a fine-tuned version of VRLLab/TurkishBERTweet on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4671
  • Accuracy: 0.9083

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: 1e-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
No log 1.0 367 0.5506 0.8318
0.4904 2.0 734 0.5033 0.8960
0.3047 3.0 1101 0.4671 0.9083

Framework versions

  • Transformers 4.35.2
  • Pytorch 2.1.0+cu121
  • Datasets 2.16.1
  • Tokenizers 0.15.0