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gpt2-13K_NC_V4
augustocsc/gpt2-13K_NC_V4
gpt2-13K_NC_V4 is a machine learning model from augustocsc. 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
- Apr 17, 2025
- Updated
- Apr 17, 2025
- SHA
- 12acfa07
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. -->
gpt2-13K_NC_V4
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9979
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: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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: 100
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 41 | 3.3578 |
| No log | 2.0 | 82 | 3.0393 |
| 0.8629 | 3.0 | 123 | 2.7994 |
| 0.8629 | 4.0 | 164 | 2.6013 |
| 0.6962 | 5.0 | 205 | 2.4413 |
| 0.6962 | 6.0 | 246 | 2.3348 |
| 0.6962 | 7.0 | 287 | 2.2546 |
| 0.6088 | 8.0 | 328 | 2.2033 |
| 0.6088 | 9.0 | 369 | 2.1726 |
| 0.5725 | 10.0 | 410 | 2.1390 |
| 0.5725 | 11.0 | 451 | 2.1300 |
| 0.5725 | 12.0 | 492 | 2.1048 |
| 0.5556 | 13.0 | 533 | 2.0996 |
| 0.5556 | 14.0 | 574 | 2.0854 |
| 0.5428 | 15.0 | 615 | 2.0780 |
| 0.5428 | 16.0 | 656 | 2.0707 |
| 0.5428 | 17.0 | 697 | 2.0680 |
| 0.534 | 18.0 | 738 | 2.0577 |
| 0.534 | 19.0 | 779 | 2.0511 |
| 0.5294 | 20.0 | 820 | 2.0464 |
| 0.5294 | 21.0 | 861 | 2.0412 |
| 0.5239 | 22.0 | 902 | 2.0414 |
| 0.5239 | 23.0 | 943 | 2.0338 |
| 0.5239 | 24.0 | 984 | 2.0300 |
| 0.5221 | 25.0 | 1025 | 2.0279 |
| 0.5221 | 26.0 | 1066 | 2.0214 |
| 0.5164 | 27.0 | 1107 | 2.0210 |
| 0.5164 | 28.0 | 1148 | 2.0211 |
| 0.5164 | 29.0 | 1189 | 2.0170 |
| 0.5155 | 30.0 | 1230 | 2.0181 |
| 0.5155 | 31.0 | 1271 | 2.0138 |
| 0.5129 | 32.0 | 1312 | 2.0139 |
| 0.5129 | 33.0 | 1353 | 2.0070 |
| 0.5129 | 34.0 | 1394 | 2.0102 |
| 0.5116 | 35.0 | 1435 | 2.0063 |
| 0.5116 | 36.0 | 1476 | 2.0022 |
| 0.5115 | 37.0 | 1517 | 2.0008 |
| 0.5115 | 38.0 | 1558 | 2.0020 |
| 0.5115 | 39.0 | 1599 | 1.9979 |
| 0.5105 | 40.0 | 1640 | 1.9982 |
| 0.5105 | 41.0 | 1681 | 1.9981 |
Framework versions
- PEFT 0.15.1
- Transformers 4.51.3
- Pytorch 2.6.0+cu118
- Datasets 3.5.0
- Tokenizers 0.21.1
- Library
- peft
- License
- mit
- Created
- Apr 17, 2025
- Updated
- Apr 17, 2025