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---
license: apache-2.0
base_model: PartAI/TookaBERT-Base
tags:
- 'persian '
- fa
- tookabert
- classification
- bert
- persian_bert
model-index:
- name: bert_classification_persian_emotion
results: []
datasets:
- SeyedAli/Persian-Text-Emotion
language:
- fa
metrics:
- accuracy
pipeline_tag: text-classification
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# bert_classification_persian_emotion
This model is a fine-tuned version of [PartAI/TookaBERT-Base](https://huggingface.co./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 |