bert_classification_persian_emotion

This model is a fine-tuned version of PartAI/TookaBERT-Base on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 0.4380

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
  • lr_scheduler_warmup_steps: 500
  • num_epochs: 3

Training results

Training Loss Epoch Step Validation Loss
0.4802 1.0 695 0.4607
0.2808 2.0 1390 0.4024
0.177 3.0 2085 0.4380

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1
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Dataset used to train mansoorhamidzadeh/bert_classification_persian_emotion