soha-roberta-fa-zwnj-base
This model is a fine-tuned version of HooshvareLab/roberta-fa-zwnj-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1682
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 59 | 1.6070 |
| No log | 2.0 | 118 | 0.4525 |
| No log | 3.0 | 177 | 0.2432 |
| No log | 4.0 | 236 | 0.1827 |
| No log | 5.0 | 295 | 0.1682 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for M-Mahdi-Setak/soha-roberta-fa-zwnj-base
Base model
HooshvareLab/roberta-fa-zwnj-base