Downloads · 30 days
15
10% of all-time downloads
collapse_gemma-2-2b_hs2_replace_iter1_sftsd0
KrisMinchev/collapse_gemma-2-2b_hs2_replace_iter1_sftsd0
collapse_gemma-2-2b_hs2_replace_iter1_sftsd0 is a machine learning model from KrisMinchev. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
All-time downloads
145
Public
Parameters
2.6B
10.5 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors5.2 GB · 100%
At a glance
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Jan 9, 2026
- Updated
- Jan 11, 2026
- SHA
- 0d48ed1d
Base models
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. -->
collapse_gemma-2-2b_hs2_replace_iter1_sftsd0
This model is a fine-tuned version of google/gemma-2-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0637
- Num Input Tokens Seen: 5698680
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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
|---|---|---|---|---|
| No log | 0 | 0 | 1.3911 | 0 |
| 1.3438 | 0.0511 | 5 | 1.2592 | 296352 |
| 1.1848 | 0.1021 | 10 | 1.1700 | 589152 |
| 1.1275 | 0.1532 | 15 | 1.1329 | 884504 |
| 1.0731 | 0.2042 | 20 | 1.1072 | 1182424 |
| 1.0942 | 0.2553 | 25 | 1.0975 | 1474984 |
| 1.0931 | 0.3063 | 30 | 1.0918 | 1772592 |
| 1.1141 | 0.3574 | 35 | 1.0878 | 2061504 |
| 1.0847 | 0.4084 | 40 | 1.0843 | 2358064 |
| 1.1003 | 0.4595 | 45 | 1.0811 | 2650896 |
| 1.0771 | 0.5105 | 50 | 1.0790 | 2942864 |
| 1.1246 | 0.5616 | 55 | 1.0765 | 3234512 |
| 1.1009 | 0.6126 | 60 | 1.0744 | 3525376 |
| 1.0904 | 0.6637 | 65 | 1.0727 | 3820376 |
| 1.1707 | 0.7147 | 70 | 1.0711 | 4108240 |
| 1.0279 | 0.7658 | 75 | 1.0692 | 4402208 |
| 1.1465 | 0.8168 | 80 | 1.0680 | 4698016 |
| 1.0785 | 0.8679 | 85 | 1.0669 | 4991408 |
| 1.005 | 0.9190 | 90 | 1.0651 | 5285784 |
| 1.0613 | 0.9700 | 95 | 1.0641 | 5580576 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- gemma2
- License
- gemma
- Created
- Jan 9, 2026
- Updated
- Jan 11, 2026