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: 0.6615
- Accuracy: 0.7421
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: 10
- eval_batch_size: 25
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6731 | 1.0 | 2861 | 0.6896 | 0.7119 |
| 0.6829 | 2.0 | 5722 | 0.7134 | 0.7002 |
| 0.6748 | 3.0 | 8583 | 0.6781 | 0.7287 |
| 0.6585 | 4.0 | 11444 | 0.6637 | 0.7343 |
| 0.6477 | 5.0 | 14305 | 0.6524 | 0.7317 |
| 0.6697 | 6.0 | 17166 | 0.6429 | 0.7421 |
| 0.6504 | 7.0 | 20027 | 0.6455 | 0.7417 |
| 0.6296 | 8.0 | 22888 | 0.6559 | 0.7369 |
| 0.647 | 9.0 | 25749 | 0.6528 | 0.7430 |
| 0.6453 | 10.0 | 28610 | 0.6600 | 0.7421 |
| 0.6523 | 11.0 | 31471 | 0.6489 | 0.7490 |
| 0.6281 | 12.0 | 34332 | 0.6615 | 0.7421 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1