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GPT2_within_boundary_67
xiulinyang/GPT2_within_boundary_67
GPT2_within_boundary_67 is a machine learning model from xiulinyang. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- 034a8bf0
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_within_boundary_67
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.7821
- Accuracy: 0.3701
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: 0.0001
- train_batch_size: 128
- eval_batch_size: 128
- seed: 67
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.0327 | 1.0 | 6439 | 4.8193 | 0.2756 |
| 4.411 | 2.0 | 12878 | 4.2652 | 0.3179 |
| 4.1453 | 3.0 | 19317 | 4.0712 | 0.3361 |
| 4.0148 | 4.0 | 25756 | 3.9668 | 0.3475 |
| 3.9155 | 5.0 | 32195 | 3.9038 | 0.3536 |
| 3.8415 | 6.0 | 38634 | 3.8617 | 0.3589 |
| 3.7799 | 7.0 | 45073 | 3.8293 | 0.3634 |
| 3.7249 | 8.0 | 51512 | 3.8070 | 0.3660 |
| 3.6775 | 9.0 | 57951 | 3.7907 | 0.3688 |
| 3.6333 | 10.0 | 64390 | 3.7821 | 0.3701 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
- Type
- gpt2
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025