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hacking-rewards-harmless-train
tuhink/hacking-rewards-harmless-train
hacking-rewards-harmless-train is a text classification model from tuhink. 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
- Jan 15, 2025
- Updated
- Jan 16, 2025
- SHA
- 0469753a
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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. -->
hacking-rewards-harmless-train
This model is a fine-tuned version of openai-community/gpt2-medium on an unknown dataset.
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: 1e-05
- train_batch_size: 64
- eval_batch_size: 4
- 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: 3
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 2.18.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Jan 15, 2025
- Updated
- Jan 16, 2025