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: 0.6537
- Accuracy: 0.7387
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: 40
- eval_batch_size: 40
- seed: 10
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6273 | 1.0 | 716 | 0.6794 | 0.7201 |
| 0.6336 | 2.0 | 1432 | 0.6611 | 0.7348 |
| 0.628 | 3.0 | 2148 | 0.6538 | 0.7451 |
| 0.6239 | 4.0 | 2864 | 0.6601 | 0.7343 |
| 0.6214 | 5.0 | 3580 | 0.6546 | 0.7374 |
| 0.618 | 6.0 | 4296 | 0.6476 | 0.7443 |
| 0.6136 | 7.0 | 5012 | 0.6484 | 0.7447 |
| 0.619 | 8.0 | 5728 | 0.6537 | 0.7387 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1