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gpt2-medium-quant
AKHILESHANIL25/gpt2-medium-quant
gpt2-medium-quant is a machine learning model from AKHILESHANIL25. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Jul 2, 2025
- Updated
- Jul 2, 2025
- SHA
- 33f240a5
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-medium-quant
This model is a fine-tuned version of gpt2-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6203
- Accuracy: 0.6438
- Precision: 0.6062
- Recall: 0.7893
- F1: 0.6858
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: 0.0003
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.7237 | 1.0 | 3438 | 0.6623 | 0.615 | 0.5821 | 0.7741 | 0.6645 |
| 0.6389 | 2.0 | 6876 | 0.6215 | 0.6462 | 0.6173 | 0.7411 | 0.6736 |
| 0.624 | 3.0 | 10314 | 0.6293 | 0.645 | 0.6004 | 0.8350 | 0.6985 |
| 0.6163 | 4.0 | 13752 | 0.6203 | 0.6438 | 0.6062 | 0.7893 | 0.6858 |
Framework versions
- PEFT 0.15.2
- Transformers 4.53.0
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2
- Library
- peft
- License
- mit
- Created
- Jul 2, 2025
- Updated
- Jul 2, 2025