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bert-base-parsbert-uncased-finetuned-conditioned-khorshid
Hamid-reza/bert-base-parsbert-uncased-finetuned-conditioned-khorshid
bert-base-parsbert-uncased-finetuned-conditioned-khorshid is a fill-mask model from Hamid-reza. Use it when you need the model to fill a missing word. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Fill-Mask
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Jan 13, 2023
- Updated
- Jan 13, 2023
- SHA
- e868ec44
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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-base-parsbert-uncased-finetuned-conditioned-khorshid
This model is a fine-tuned version of HooshvareLab/bert-base-parsbert-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 4.1747
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 4.5994 | 1.0 | 324 | 4.3930 |
| 4.1349 | 2.0 | 648 | 4.2090 |
| 3.9812 | 3.0 | 972 | 4.0282 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jan 13, 2023
- Updated
- Jan 13, 2023