metadata
license: apache-2.0
base_model: philschmid/tiny-bert-sst2-distilled
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 philschmid/tiny-bert-sst2-distilled on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8137
- Accuracy: 0.6423
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-08
- 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
- num_epochs: 12
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.8627 | 1.0 | 3576 | 0.8142 | 0.6410 |
| 0.8555 | 2.0 | 7152 | 0.8140 | 0.6415 |
| 0.874 | 3.0 | 10728 | 0.8138 | 0.6419 |
| 0.8566 | 4.0 | 14304 | 0.8137 | 0.6423 |
| 0.8739 | 5.0 | 17880 | 0.8137 | 0.6423 |
| 0.8917 | 6.0 | 21456 | 0.8138 | 0.6432 |
| 0.866 | 7.0 | 25032 | 0.8137 | 0.6432 |
| 0.8613 | 8.0 | 28608 | 0.8137 | 0.6432 |
| 0.875 | 9.0 | 32184 | 0.8137 | 0.6441 |
| 0.8838 | 10.0 | 35760 | 0.8137 | 0.6441 |
| 0.8682 | 11.0 | 39336 | 0.8137 | 0.6441 |
| 0.8736 | 12.0 | 42912 | 0.8137 | 0.6441 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1