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gpt2_small_wiki_50M_32768_53
xiulinyang/gpt2_small_wiki_50M_32768_53
gpt2_small_wiki_50M_32768_53 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
- 1c780698
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_small_wiki_50M_32768_53
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.2036
- Accuracy: 0.3204
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: 53
- 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 |
|---|---|---|---|---|
| 7.2067 | 0.43 | 2000 | 7.1418 | 0.1367 |
| 6.2966 | 0.87 | 4000 | 6.4781 | 0.1650 |
| 5.7649 | 1.3 | 6000 | 6.0221 | 0.1835 |
| 5.3429 | 1.73 | 8000 | 5.6953 | 0.1983 |
| 4.9856 | 2.17 | 10000 | 5.4411 | 0.2126 |
| 4.675 | 2.6 | 12000 | 5.2119 | 0.2312 |
| 4.3891 | 3.04 | 14000 | 5.0156 | 0.2474 |
| 4.1642 | 3.47 | 16000 | 4.8782 | 0.2576 |
| 4.0143 | 3.9 | 18000 | 4.7600 | 0.2660 |
| 3.8702 | 4.34 | 20000 | 4.6668 | 0.2731 |
| 3.785 | 4.77 | 22000 | 4.5986 | 0.2787 |
| 3.6662 | 5.2 | 24000 | 4.5459 | 0.2829 |
| 3.6283 | 5.64 | 26000 | 4.4943 | 0.2872 |
| 3.565 | 6.07 | 28000 | 4.4643 | 0.2901 |
| 3.5003 | 6.51 | 30000 | 4.4250 | 0.2936 |
| 3.4801 | 6.94 | 32000 | 4.3955 | 0.2965 |
| 3.3998 | 7.37 | 34000 | 4.3750 | 0.2982 |
| 3.3937 | 7.81 | 36000 | 4.3448 | 0.3012 |
| 3.2958 | 8.24 | 38000 | 4.3346 | 0.3031 |
| 3.3136 | 8.67 | 40000 | 4.3163 | 0.3045 |
| 3.2555 | 9.11 | 42000 | 4.3115 | 0.3061 |
| 3.2273 | 9.54 | 44000 | 4.2798 | 0.3087 |
| 3.2214 | 9.98 | 46000 | 4.2518 | 0.3107 |
| 3.1357 | 10.41 | 48000 | 4.2570 | 0.3122 |
| 3.1535 | 10.84 | 50000 | 4.2408 | 0.3134 |
| 3.0547 | 11.28 | 52000 | 4.2370 | 0.3144 |
| 3.0825 | 11.71 | 54000 | 4.2284 | 0.3155 |
| 3.0205 | 12.14 | 56000 | 4.2359 | 0.3159 |
| 3.0182 | 12.58 | 58000 | 4.2199 | 0.3167 |
| 3.0221 | 13.01 | 60000 | 4.2151 | 0.3185 |
| 2.9579 | 13.45 | 62000 | 4.2159 | 0.3185 |
| 2.9809 | 13.88 | 64000 | 4.2046 | 0.3193 |
| 2.8961 | 14.31 | 66000 | 4.2209 | 0.3192 |
| 2.9291 | 14.75 | 68000 | 4.2036 | 0.3204 |
| 2.8595 | 15.18 | 70000 | 4.2102 | 0.3205 |
| 2.8716 | 15.61 | 72000 | 4.2065 | 0.3206 |
| 2.8668 | 16.05 | 74000 | 4.2053 | 0.3216 |
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