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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