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distilgpt2-finetuned-wikitext2
EdBerg/distilgpt2-finetuned-wikitext2
distilgpt2-finetuned-wikitext2 is a machine learning model from EdBerg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Aug 31, 2024
- Updated
- Aug 31, 2024
- SHA
- 1748ab45
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 an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6425
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 |
|---|---|---|---|
| 3.7487 | 1.0 | 2334 | 3.6663 |
| 3.648 | 2.0 | 4668 | 3.6462 |
| 3.6015 | 3.0 | 7002 | 3.6425 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Tokenizers 0.19.1
- Type
- gpt2
- License
- apache-2.0
- Created
- Aug 31, 2024
- Updated
- Aug 31, 2024