pft-clf-finetuned
This model is a fine-tuned version of HooshvareLab/bert-fa-zwnj-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5631
- Matthews Correlation: 0.8416
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: 3e-06
- train_batch_size: 6
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|---|---|---|---|---|
| 0.2936 | 1.0 | 3997 | 0.5631 | 0.8416 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
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Model tree for Faezeh-gholamrezaie/pft-clf-finetuned
Base model
HooshvareLab/bert-fa-zwnj-base