Downloads · 30 days
10
3% of all-time downloads
gpt2_small_expandedbabyLM_100M_coord_0percent_43
devika-tiwari/gpt2_small_expandedbabyLM_100M_coord_0percent_43
gpt2_small_expandedbabyLM_100M_coord_0percent_43 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. --
All-time downloads
327
Public
Repo size
12.4 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin498 MB · 99%
At a glance
- Model type
- gpt2
- Access
- Public
- Created
- Jul 22, 2026
- Updated
- Sep 8, 2026
- SHA
- 1053e057
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_expandedbabyLM_100M_coord_0percent_43
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.6602
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: 256
- eval_batch_size: 256
- seed: 43
- 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 |
|---|---|---|---|
| 3.4352 | 1.0 | 4912 | 3.9678 |
| 3.1387 | 2.0 | 9824 | 3.6683 |
| 3.0299 | 3.0 | 14736 | 3.6696 |
| 2.9656 | 4.0 | 19648 | 3.6637 |
| 2.909 | 5.0 | 24560 | 3.6602 |
| 2.8646 | 6.0 | 29472 | 3.6734 |
| 2.8315 | 7.0 | 34384 | 3.6897 |
| 2.8052 | 8.0 | 39296 | 3.7581 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.11.0+cu130
- Datasets 4.1.1
- Tokenizers 0.13.3
- Type
- gpt2
- Created
- Jul 22, 2026
- Updated
- Sep 8, 2026