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gpt2_small_wiki_30M_32768_53
xiulinyang/gpt2_small_wiki_30M_32768_53
gpt2_small_wiki_30M_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
- dafb5869
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_30M_32768_53
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.3972
- Accuracy: 0.3052
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 |
|---|---|---|---|---|
| 7.2152 | 0.73 | 2000 | 7.1433 | 0.1360 |
| 6.3061 | 1.45 | 4000 | 6.4738 | 0.1647 |
| 5.7745 | 2.18 | 6000 | 6.0380 | 0.1824 |
| 5.3494 | 2.91 | 8000 | 5.6974 | 0.1980 |
| 4.9895 | 3.64 | 10000 | 5.4515 | 0.2113 |
| 4.6685 | 4.36 | 12000 | 5.2341 | 0.2285 |
| 4.3883 | 5.09 | 14000 | 5.0255 | 0.2462 |
| 4.1657 | 5.82 | 16000 | 4.8881 | 0.2571 |
| 3.988 | 6.55 | 18000 | 4.7746 | 0.2648 |
| 3.8484 | 7.27 | 20000 | 4.6904 | 0.2708 |
| 3.7718 | 8.0 | 22000 | 4.6325 | 0.2760 |
| 3.666 | 8.73 | 24000 | 4.5710 | 0.2815 |
| 3.5647 | 9.45 | 26000 | 4.5385 | 0.2851 |
| 3.5009 | 10.18 | 28000 | 4.5143 | 0.2875 |
| 3.473 | 10.91 | 30000 | 4.4741 | 0.2906 |
| 3.3956 | 11.64 | 32000 | 4.4548 | 0.2932 |
| 3.3003 | 12.36 | 34000 | 4.4486 | 0.2949 |
| 3.3076 | 13.09 | 36000 | 4.4331 | 0.2956 |
| 3.2736 | 13.82 | 38000 | 4.4111 | 0.2978 |
| 3.2016 | 14.55 | 40000 | 4.4160 | 0.2991 |
| 3.1381 | 15.27 | 42000 | 4.4253 | 0.2989 |
| 3.1544 | 16.0 | 44000 | 4.3988 | 0.3015 |
| 3.0836 | 16.73 | 46000 | 4.3948 | 0.3023 |
| 2.996 | 17.45 | 48000 | 4.4056 | 0.3024 |
| 2.9774 | 18.18 | 50000 | 4.4172 | 0.3034 |
| 2.981 | 18.91 | 52000 | 4.3972 | 0.3052 |
| 2.9063 | 19.64 | 54000 | 4.4182 | 0.3047 |
| 2.8223 | 20.36 | 56000 | 4.4406 | 0.3044 |
| 2.8628 | 21.09 | 58000 | 4.4479 | 0.3050 |
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