Downloads · 30 days
40
27% of all-time downloads
gpt2_mini_baby_10M_32768_76
xiulinyang/gpt2_mini_baby_10M_32768_76
gpt2_mini_baby_10M_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. --
All-time downloads
146
Public
Repo size
3.3 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin119 MB · 98%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Oct 24, 2025
- Updated
- Oct 24, 2025
- SHA
- f13f94d8
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_10M_32768_76
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4032
- Accuracy: 0.3020
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 |
|---|---|---|---|---|
| 5.9311 | 2.19 | 2000 | 6.5316 | 0.1712 |
| 4.3498 | 4.39 | 4000 | 5.7093 | 0.2054 |
| 4.0428 | 6.58 | 6000 | 5.3872 | 0.2168 |
| 3.8985 | 8.77 | 8000 | 5.1663 | 0.2275 |
| 3.7278 | 10.96 | 10000 | 5.0030 | 0.2456 |
| 3.5954 | 13.16 | 12000 | 4.8670 | 0.2580 |
| 3.4983 | 15.35 | 14000 | 4.7617 | 0.2678 |
| 3.4069 | 17.54 | 16000 | 4.6998 | 0.2761 |
| 3.3359 | 19.74 | 18000 | 4.6160 | 0.2822 |
| 3.2742 | 21.93 | 20000 | 4.5489 | 0.2871 |
| 3.2205 | 24.12 | 22000 | 4.5103 | 0.2925 |
| 3.1779 | 26.32 | 24000 | 4.4735 | 0.2942 |
| 3.1339 | 28.51 | 26000 | 4.4355 | 0.2981 |
| 3.0965 | 30.7 | 28000 | 4.4108 | 0.2993 |
| 3.0565 | 32.89 | 30000 | 4.3952 | 0.3012 |
| 3.0206 | 35.09 | 32000 | 4.4032 | 0.3020 |
| 2.9871 | 37.28 | 34000 | 4.4175 | 0.3013 |
| 2.9636 | 39.47 | 36000 | 4.4242 | 0.3028 |
| 2.9327 | 41.67 | 38000 | 4.4106 | 0.3036 |
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