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redit_gpt
Ganz00/redit_gpt
redit_gpt is a text generation model from Ganz00. Use it when you need the model to write or continue 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 Generation
- Library
- transformers
- License
- mit
- Model type
- gpt2
- Access
- Public
- Created
- Jul 15, 2024
- Updated
- Jul 18, 2024
- SHA
- 05dfbfa1
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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. -->
redit_gpt
This model use the architecture of gpt2 an was trained on the Ganz00/reddit-comments-cleaned-for-tg dataset. It achieves the following results on the evaluation set:
- Loss: 3.4867
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: 0.0005
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 1000
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.2446 | 0.5891 | 1000 | 4.2133 |
| 3.9883 | 1.1782 | 2000 | 3.7935 |
| 3.7198 | 1.7673 | 3000 | 3.6230 |
| 3.5341 | 2.3564 | 4000 | 3.5221 |
| 3.4378 | 2.9455 | 5000 | 3.4867 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Languages
- en
- Created
- Jul 15, 2024
- Updated
- Jul 18, 2024