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