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gpt2-finetuned-wikitext2
lengoctuong/gpt2-finetuned-wikitext2
gpt2-finetuned-wikitext2 is a text generation model from lengoctuong. 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
- Aug 23, 2023
- Updated
- Oct 7, 2023
- SHA
- 9185a1c0
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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. -->
gpt2-finetuned-wikitext2
THE GITHUB REPO OF THIS MODEL HERE.
This model is a fine-tuned version of gpt2 on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 3.3943
- Perplexity: 29.7930
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 32
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.9315 | 1.0 | 49 | 3.6200 |
| 3.8128 | 1.0 | 112 | 3.4878 |
| 3.5448 | 2.0 | 195 | 3.4476 |
| 3.4743 | 2.0 | 258 | 3.4325 |
| 3.5040 | 3.0 | 391 | 3.4216 |
| 3.4371 | 3.0 | 404 | 3.4142 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- mit
- Created
- Aug 23, 2023
- Updated
- Oct 7, 2023