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: 1.1799
- Accuracy: 0.7313
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: 1
- eval_batch_size: 1
- seed: 45
- 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 |
|---|---|---|---|---|
| 1.3201 | 1.0 | 28602 | 1.1799 | 0.7313 |
| 1.1258 | 2.0 | 57204 | 1.3399 | 0.7205 |
| 1.19 | 3.0 | 85806 | 1.2192 | 0.7516 |
| 1.1178 | 4.0 | 114408 | 1.2138 | 0.7594 |
| 1.1292 | 5.0 | 143010 | 1.2117 | 0.7611 |
| 1.0537 | 6.0 | 171612 | 1.3268 | 0.7413 |
| 1.0113 | 7.0 | 200214 | 1.3229 | 0.7460 |
| 1.1022 | 8.0 | 228816 | 1.2681 | 0.7525 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1