uncased-clf-persiannews_v2-finetuned-bmd-20241027_125058-LOSO-section-out1
This model is a fine-tuned version of soltaniali/uncased-clf-persiannews_v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0781
- Accuracy: 0.5172
- F1: 0.5143
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: 5e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 0.5714 | 1 | 1.1232 | 0.3103 | 0.2074 |
| No log | 1.7143 | 3 | 1.1024 | 0.3103 | 0.2431 |
| No log | 2.8571 | 5 | 1.0925 | 0.3448 | 0.2995 |
| No log | 4.0 | 7 | 1.0876 | 0.4138 | 0.4185 |
| No log | 4.5714 | 8 | 1.0853 | 0.4828 | 0.4860 |
| 4.3532 | 5.7143 | 10 | 1.0819 | 0.5517 | 0.5479 |
| 4.3532 | 6.8571 | 12 | 1.0806 | 0.5172 | 0.5143 |
| 4.3532 | 8.0 | 14 | 1.0793 | 0.5172 | 0.5143 |
| 4.3532 | 8.5714 | 15 | 1.0787 | 0.5172 | 0.5143 |
| 4.3532 | 9.7143 | 17 | 1.0786 | 0.5172 | 0.5143 |
| 4.3532 | 10.8571 | 19 | 1.0782 | 0.5172 | 0.5143 |
| 4.1191 | 11.4286 | 20 | 1.0781 | 0.5172 | 0.5143 |
Framework versions
- Transformers 4.46.0
- Pytorch 2.5.0+cu121
- Datasets 3.0.2
- Tokenizers 0.20.1