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fine_tuning_parsbert
MahdisHosseini/fine_tuning_parsbert
fine_tuning_parsbert is a machine learning model from MahdisHosseini. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- bert
- Access
- Public
- Created
- May 11, 2025
- Updated
- May 11, 2025
- SHA
- 59e1b130
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
fine_tuning_parsbert
This model is a fine-tuned version of pedramyazdipoor/parsbert_question_answering_PQuAD on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.9226
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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.0619 | 1.0 | 2027 | 1.8176 |
| 1.1506 | 2.0 | 4054 | 2.1019 |
| 0.5167 | 3.0 | 6081 | 2.9226 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Type
- bert
- Created
- May 11, 2025
- Updated
- May 11, 2025