Downloads · 30 days
2
2% of all-time downloads
distilgpt2-finetuned-wikitext2
kennethli319/distilgpt2-finetuned-wikitext2
distilgpt2-finetuned-wikitext2 is a machine learning model from kennethli319. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
91
Public
Parameters
81.9M
661 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors329 MB · 100%
At a glance
- Library
- peft
- License
- apache-2.0
- Model type
- gpt2
- Access
- Public
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024
- SHA
- 5b43dbd2
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: 3.4393
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: 0.0002
- 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 |
|---|---|---|---|
| No log | 1.0 | 290 | 3.4873 |
| 3.6829 | 2.0 | 580 | 3.4472 |
| 3.6829 | 3.0 | 870 | 3.4393 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- Type
- gpt2
- License
- apache-2.0
- Created
- Jan 11, 2024
- Updated
- Jan 11, 2024