metadata
license: apache-2.0
base_model: HooshvareLab/bert-fa-base-uncased-clf-persiannews
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: war_intent_detection_fa
results: []
war_intent_detection_fa
This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased-clf-persiannews on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2065
- Accuracy: 0.9187
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6873 | 1.0 | 805 | 0.2907 | 0.8987 |
| 0.2264 | 2.0 | 1610 | 0.2378 | 0.9128 |
| 0.2008 | 3.0 | 2415 | 0.2199 | 0.9176 |
| 0.1654 | 4.0 | 3220 | 0.2141 | 0.9152 |
| 0.145 | 5.0 | 4025 | 0.2065 | 0.9187 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1