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distilgpt2-finetuned-wikitext2
saraKH/distilgpt2-finetuned-wikitext2
distilgpt2-finetuned-wikitext2 is a text generation model from saraKH. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Sep 19, 2023
- Updated
- Oct 2, 2023
- SHA
- 4b7ed1de
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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. -->
distilgpt2-finetuned-wikitext2
This model is a fine-tuned version of distilgpt2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0107
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.1763 | 1.0 | 17444 | 1.0928 |
| 1.0966 | 2.0 | 34888 | 1.0295 |
| 1.0758 | 3.0 | 52332 | 1.0107 |
Framework versions
- Transformers 4.33.3
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Text Generation
- Library
- transformers
- Type
- gpt2
- License
- apache-2.0
- Created
- Sep 19, 2023
- Updated
- Oct 2, 2023