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distilGPT-NepSA
raygx/distilGPT-NepSA
distilGPT-NepSA is a text classification model from raygx. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Aug 13, 2023
- Updated
- Aug 24, 2023
- SHA
- e96fdf80
Try a prompt
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
distilGPT-NepSA
This model is a fine-tuned version of raygx/distilGPT-Nepali on an unknown dataset. It achieves the following results on the evaluation set:
- Train Loss: 0.6068
- Validation Loss: 0.6592
- Epoch: 1
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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.04}
- training_precision: float32
Training results
| Train Loss | Validation Loss | Epoch |
|---|---|---|
| 0.8415 | 0.7254 | 0 |
| 0.6068 | 0.6592 | 1 |
Framework versions
- Transformers 4.28.1
- TensorFlow 2.11.0
- Datasets 2.1.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Aug 13, 2023
- Updated
- Aug 24, 2023