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metadata
base_model: HooshvareLab/bert-base-parsbert-uncased
tags:
  - bert
  - classification
  - parsbert
  - persian
  - persain_classification
model-index:
  - name: bert_classification_persian_emotion
    results: []
license: apache-2.0
language:
  - fa
metrics:
  - accuracy
pipeline_tag: text-classification
datasets:
  - SeyedAli/Persian-Text-Emotion

bert_classification_persian_emotion

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

  • Loss: 0.3678

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: 16
  • eval_batch_size: 4
  • 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
1.3557 1.0 348 1.1649
0.4685 2.0 696 0.4005
0.2652 3.0 1044 0.3678

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.19.2
  • Tokenizers 0.19.1