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gpt2-rm-tldr
Holarissun/gpt2-rm-tldr
gpt2-rm-tldr is a text classification model from Holarissun. 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
- gpt2
- Access
- Public
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024
- SHA
- 423c3248
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Datasets
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. -->
gpt2-rm-tldr
This model was trained from scratch on the summarize_from_feedback dataset. It achieves the following results on the evaluation set:
- Loss: 2.3421
- Accuracy: 0.5240
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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.89 | 1.0 | 92858 | 2.1223 | 0.5385 |
| 1.7813 | 2.0 | 185716 | 2.2080 | 0.5263 |
| 1.6242 | 3.0 | 278574 | 2.3421 | 0.5240 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Text Classification
- Library
- transformers
- Type
- gpt2
- Created
- Jan 8, 2024
- Updated
- Jan 8, 2024