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gpt2.shak
jchwenger/gpt2.shak
gpt2.shak is a text generation model from jchwenger. 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
- Nov 15, 2023
- Updated
- Nov 15, 2023
- SHA
- 88a65b90
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Base models
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.shak
This model is a fine-tuned version of gpt2 on the tiny_shakespeare dataset. It achieves the following results on the evaluation set:
- Loss: 3.1852
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: 3e-05
- train_batch_size: 3
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3259 | 1.0 | 98 | 3.2194 |
| 3.3527 | 2.0 | 196 | 3.2017 |
| 3.1783 | 3.0 | 294 | 3.1900 |
| 3.2653 | 4.0 | 392 | 3.1863 |
| 3.2787 | 5.0 | 490 | 3.1852 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Nov 15, 2023
- Updated
- Nov 15, 2023