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bert-fa-base-uncased-finetuned-ParsBert
Yasamansaffari73/bert-fa-base-uncased-finetuned-ParsBert
bert-fa-base-uncased-finetuned-ParsBert is a fill-mask model from Yasamansaffari73. Use it when you need the model to fill a missing word. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- License
- apache-2.0
- Model type
- bert
- Access
- Public
- Created
- May 5, 2023
- Updated
- May 5, 2023
- SHA
- e09b142c
Try a prompt
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. -->
bert-fa-base-uncased-finetuned-ParsBert
This repo is just a try to learn working with hugging face. This model is a fine-tuned version of HooshvareLab/bert-fa-base-uncased on a very simple handmade dataset from !kaggle datasets download -d miladfa7/persian-wikipedia-dataset. It achieves the following results on the evaluation set:
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: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 8 | 2.0729 |
| No log | 2.0 | 16 | 1.9354 |
| No log | 3.0 | 24 | 2.0527 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Languages
- fa
- Created
- May 5, 2023
- Updated
- May 5, 2023