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bert-base-arabertv02-finetuned-arabert-tn-v2.0
betteib/bert-base-arabertv02-finetuned-arabert-tn-v2.0
bert-base-arabertv02-finetuned-arabert-tn-v2.0 is a fill-mask model from betteib. 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
- Jun 4, 2024
- Updated
- Jun 4, 2024
- SHA
- d07e7430
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Base models
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-arabertv02-finetuned-arabert-tn-v2.0
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 7.6029
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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 8.1521 | 1.0 | 157 | 7.8033 |
| 7.7095 | 2.0 | 314 | 7.6168 |
| 7.6134 | 3.0 | 471 | 7.6029 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Fill-Mask
- Library
- transformers
- Type
- bert
- Created
- Jun 4, 2024
- Updated
- Jun 4, 2024