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darija_test8
smerchi/darija_test8
darija_test8 is a text classification model from smerchi. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Sep 12, 2024
- Updated
- Dec 25, 2024
- SHA
- b3bc95ac
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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. -->
darija_test8
This model is a fine-tuned version of SI2M-Lab/DarijaBERT on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0
- Accuracy: 1.0
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 92 | 0.0000 | 1.0 |
| No log | 2.0 | 184 | 0.0 | 1.0 |
| No log | 3.0 | 276 | 0.0 | 1.0 |
| No log | 4.0 | 368 | 0.0 | 1.0 |
| No log | 5.0 | 460 | 0.0 | 1.0 |
| 0.0 | 6.0 | 552 | 0.0 | 1.0 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Sep 12, 2024
- Updated
- Dec 25, 2024