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Roberta-finetuned-Parsi-Mianeh-Corpus
Amir01/Roberta-finetuned-Parsi-Mianeh-Corpus
Roberta-finetuned-Parsi-Mianeh-Corpus is a fill-mask model from Amir01. 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
- roberta
- Access
- Public
- Created
- Dec 22, 2023
- Updated
- Dec 22, 2023
- SHA
- ae3040b6
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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. -->
Roberta-finetuned-Parsi-Mianeh-Corpus
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 7.4224
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|
| 9.8616 | 0.22 | 20 | 9.3761 |
| 9.2006 | 0.44 | 40 | 9.0198 |
| 8.8259 | 0.66 | 60 | 8.5620 |
| 8.5527 | 0.88 | 80 | 8.3050 |
| 8.1236 | 1.1 | 100 | 8.3048 |
| 7.991 | 1.32 | 120 | 8.1298 |
| 7.9292 | 1.54 | 140 | 7.9720 |
| 7.7596 | 1.76 | 160 | 7.7534 |
| 7.6453 | 1.98 | 180 | 7.6088 |
| 7.547 | 2.2 | 200 | 7.4625 |
| 7.512 | 2.42 | 220 | 7.4361 |
| 7.32 | 2.64 | 240 | 7.4219 |
| 7.3282 | 2.86 | 260 | 7.4224 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0
- Task
- Fill-Mask
- Library
- transformers
- Type
- roberta
- Created
- Dec 22, 2023
- Updated
- Dec 22, 2023