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fake_buzz_gpt
lenayagaf/fake_buzz_gpt
fake_buzz_gpt is a text classification model from lenayagaf. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Apr 9, 2023
- Updated
- Apr 9, 2023
- SHA
- bdd0ba85
Try a prompt
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. -->
fake_buzz_gpt
This model is a fine-tuned version of gpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7781
- Accuracy: {'accuracy': 0.5691489361702128}
- F1: 0.5614
- Recall: 0.4356
- Precision: 0.6471
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 188 | 0.8578 | {'accuracy': 0.5425531914893617} | 0.5394 | 0.6238 | 0.5676 |
| No log | 2.0 | 376 | 0.7781 | {'accuracy': 0.5691489361702128} | 0.5614 | 0.4356 | 0.6471 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Apr 9, 2023
- Updated
- Apr 9, 2023