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gpt2_mini_baby_10Mf_32768_76
xiulinyang/gpt2_mini_baby_10Mf_32768_76
gpt2_mini_baby_10Mf_32768_76 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
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- bcd1b923
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_mini_baby_10Mf_32768_76
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4300
- Accuracy: 0.2997
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: 32
- eval_batch_size: 32
- seed: 76
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 40000
- training_steps: 100000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 5.934 | 2.2 | 2000 | 6.5359 | 0.1723 |
| 4.3434 | 4.39 | 4000 | 5.7227 | 0.2059 |
| 4.0422 | 6.59 | 6000 | 5.3931 | 0.2165 |
| 3.8918 | 8.78 | 8000 | 5.1812 | 0.2272 |
| 3.7238 | 10.98 | 10000 | 5.0201 | 0.2455 |
| 3.593 | 13.17 | 12000 | 4.8982 | 0.2586 |
| 3.4887 | 15.37 | 14000 | 4.7813 | 0.2668 |
| 3.4028 | 17.56 | 16000 | 4.6885 | 0.2753 |
| 3.3367 | 19.76 | 18000 | 4.6320 | 0.2808 |
| 3.2726 | 21.95 | 20000 | 4.5714 | 0.2867 |
| 3.2202 | 24.15 | 22000 | 4.5151 | 0.2911 |
| 3.1682 | 26.34 | 24000 | 4.4626 | 0.2945 |
| 3.1246 | 28.54 | 26000 | 4.4451 | 0.2979 |
| 3.0849 | 30.74 | 28000 | 4.4300 | 0.2997 |
| 3.0504 | 32.93 | 30000 | 4.4026 | 0.2999 |
| 3.0149 | 35.13 | 32000 | 4.4306 | 0.3019 |
| 2.981 | 37.32 | 34000 | 4.4283 | 0.3013 |
| 2.955 | 39.52 | 36000 | 4.4351 | 0.3013 |
| 2.9297 | 41.71 | 38000 | 4.4214 | 0.3035 |
| 2.9027 | 43.91 | 40000 | 4.4378 | 0.3027 |
| 2.8685 | 46.1 | 42000 | 4.4750 | 0.3020 |
| 2.8387 | 48.3 | 44000 | 4.4777 | 0.3019 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.0+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
- Type
- gpt2
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025