metadata
license: apache-2.0
base_model: dadashzadeh/tiny-bert-Sentiment-persian
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tiny-bert-Sentiment-persian
results: []
tiny-bert-Sentiment-persian
This model is a fine-tuned version of dadashzadeh/tiny-bert-Sentiment-persian on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.7744
- Accuracy: 0.6570
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: 2e-05
- train_batch_size: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8669 | 1.0 | 2384 | 0.8153 | 0.6354 |
| 0.8577 | 2.0 | 4768 | 0.7903 | 0.6523 |
| 0.8537 | 3.0 | 7152 | 0.7873 | 0.6549 |
| 0.8411 | 4.0 | 9536 | 0.7792 | 0.6531 |
| 0.8408 | 5.0 | 11920 | 0.8042 | 0.6397 |
| 0.8432 | 6.0 | 14304 | 0.7744 | 0.6570 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1