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collapse_gemma-2-2b_hs2_replace_iter2_sftsd0
KrisMinchev/collapse_gemma-2-2b_hs2_replace_iter2_sftsd0
collapse_gemma-2-2b_hs2_replace_iter2_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. --
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At a glance
- License
- gemma
- Model type
- gemma2
- Access
- Public
- Created
- Jan 9, 2026
- Updated
- Jan 11, 2026
- SHA
- d9d1f8ef
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_iter2_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: 1.6314
- Num Input Tokens Seen: 4852992
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 |
| 1.5169 | 0.0579 | 5 | 1.2663 | 285536 |
| 1.3736 | 0.1158 | 10 | 1.1918 | 567456 |
| 1.1135 | 0.1737 | 15 | 1.2205 | 844248 |
| 0.8215 | 0.2315 | 20 | 1.2889 | 1125792 |
| 0.7 | 0.2894 | 25 | 1.3912 | 1408488 |
| 0.4534 | 0.3473 | 30 | 1.4630 | 1691120 |
| 0.4168 | 0.4052 | 35 | 1.5283 | 1974504 |
| 0.3295 | 0.4631 | 40 | 1.5404 | 2257232 |
| 0.1989 | 0.5210 | 45 | 1.4892 | 2538768 |
| 0.2135 | 0.5789 | 50 | 1.5781 | 2821752 |
| 0.1784 | 0.6368 | 55 | 1.4920 | 3105616 |
| 0.1314 | 0.6946 | 60 | 1.5251 | 3381944 |
| 0.1645 | 0.7525 | 65 | 1.5864 | 3666096 |
| 0.0937 | 0.8104 | 70 | 1.4925 | 3946448 |
| 0.1406 | 0.8683 | 75 | 1.5310 | 4234720 |
| 0.1477 | 0.9262 | 80 | 1.5799 | 4512080 |
| 0.0654 | 0.9841 | 85 | 1.6488 | 4796248 |
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