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gpt_1_causual_finetune
jacob-danner/gpt_1_causual_finetune
gpt_1_causual_finetune is a text generation model from jacob-danner. 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
- openai-gpt
- Access
- Public
- Created
- Mar 15, 2025
- Updated
- Mar 23, 2025
- SHA
- 8409d991
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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. -->
gpt_1_causual_finetune
This model is a fine-tuned version of openai-gpt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6698
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: 0.0002511643502833988
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Use OptimizerNames.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: 25
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.7166 | 1.0 | 12 | 1.0911 |
| 0.9172 | 2.0 | 24 | 0.8221 |
| 0.6982 | 3.0 | 36 | 0.7172 |
| 0.5758 | 4.0 | 48 | 0.6670 |
| 0.504 | 5.0 | 60 | 0.6512 |
| 0.4566 | 6.0 | 72 | 0.6512 |
| 0.4187 | 7.0 | 84 | 0.6503 |
| 0.3829 | 8.0 | 96 | 0.6641 |
| 0.3589 | 9.0 | 108 | 0.6698 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0
- Datasets 3.4.0
- Tokenizers 0.21.1
- Task
- Text Generation
- Library
- transformers
- Type
- openai-gpt
- License
- mit
- Created
- Mar 15, 2025
- Updated
- Mar 23, 2025