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distilgpt2
gotnogpu/distilgpt2
distilgpt2 is a machine learning model from gotnogpu. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- Model type
- gpt2
- Access
- Public
- Created
- May 5, 2025
- Updated
- May 5, 2025
- SHA
- 0d3bbaf8
Base models
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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
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.3275
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 476 | 3.3277 |
| 3.3233 | 2.0 | 952 | 3.3276 |
| 3.3253 | 3.0 | 1428 | 3.3275 |
Framework versions
- PEFT 0.15.2
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Library
- peft
- Type
- gpt2
- Created
- May 5, 2025
- Updated
- May 5, 2025