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gpt2_small_babyLM_50_bigbatch_20e
devika-tiwari/gpt2_small_babyLM_50_bigbatch_20e
gpt2_small_babyLM_50_bigbatch_20e is a machine learning model from devika-tiwari. 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
- Dec 13, 2025
- Updated
- Dec 14, 2025
- SHA
- 0900ea11
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_babyLM_50_bigbatch_20e
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.9553
- Accuracy: 0.4597
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: 1024
- eval_batch_size: 1024
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 4000
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 4.8365 | 1.0 | 698 | 4.4556 | 0.3605 |
| 3.8833 | 2.0 | 1396 | 3.7898 | 0.3957 |
| 3.4752 | 3.0 | 2094 | 3.5198 | 0.4125 |
| 3.307 | 4.0 | 2792 | 3.3589 | 0.4238 |
| 3.1527 | 5.0 | 3490 | 3.2506 | 0.4314 |
| 3.0693 | 6.0 | 4188 | 3.1725 | 0.4375 |
| 2.9811 | 7.0 | 4886 | 3.1154 | 0.4427 |
| 2.9298 | 8.0 | 5584 | 3.0740 | 0.4463 |
| 2.8801 | 9.0 | 6282 | 3.0452 | 0.4491 |
| 2.8432 | 10.0 | 6980 | 3.0237 | 0.4513 |
| 2.8109 | 11.0 | 7678 | 3.0049 | 0.4533 |
| 2.7828 | 12.0 | 8376 | 2.9932 | 0.4545 |
| 2.7586 | 13.0 | 9074 | 2.9828 | 0.4560 |
| 2.7348 | 14.0 | 9772 | 2.9754 | 0.4567 |
| 2.7167 | 15.0 | 10470 | 2.9695 | 0.4576 |
| 2.6975 | 16.0 | 11168 | 2.9631 | 0.4584 |
| 2.6803 | 17.0 | 11866 | 2.9595 | 0.4588 |
| 2.667 | 18.0 | 12564 | 2.9572 | 0.4593 |
| 2.6566 | 19.0 | 13262 | 2.9558 | 0.4596 |
| 2.6451 | 20.0 | 13960 | 2.9553 | 0.4597 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.9.1+cu128
- Datasets 4.1.1
- Tokenizers 0.13.3
- Type
- gpt2
- Created
- Dec 13, 2025
- Updated
- Dec 14, 2025