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collapse_gemma-2-2b_hs2_replace_iter1_sftsd1
KrisMinchev/collapse_gemma-2-2b_hs2_replace_iter1_sftsd1
collapse_gemma-2-2b_hs2_replace_iter1_sftsd1 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 9, 2026
- SHA
- 378f12c0
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_sftsd1
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: 5709936
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: 1
- 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 |
| 1.2753 | 0.0511 | 5 | 1.2592 | 285512 |
| 1.2151 | 0.1021 | 10 | 1.1718 | 578296 |
| 1.1556 | 0.1532 | 15 | 1.1339 | 873440 |
| 1.1448 | 0.2042 | 20 | 1.1079 | 1168560 |
| 1.0673 | 0.2553 | 25 | 1.0980 | 1463952 |
| 1.1503 | 0.3063 | 30 | 1.0929 | 1754024 |
| 1.0342 | 0.3574 | 35 | 1.0886 | 2046160 |
| 1.0634 | 0.4084 | 40 | 1.0852 | 2341224 |
| 1.1423 | 0.4595 | 45 | 1.0825 | 2635056 |
| 1.0152 | 0.5105 | 50 | 1.0796 | 2927424 |
| 1.0929 | 0.5616 | 55 | 1.0768 | 3221968 |
| 1.1003 | 0.6126 | 60 | 1.0747 | 3519568 |
| 1.0713 | 0.6637 | 65 | 1.0726 | 3816688 |
| 1.0621 | 0.7147 | 70 | 1.0710 | 4117768 |
| 1.0789 | 0.7658 | 75 | 1.0696 | 4418488 |
| 1.1539 | 0.8168 | 80 | 1.0683 | 4709408 |
| 1.1031 | 0.8679 | 85 | 1.0670 | 5000912 |
| 1.0455 | 0.9190 | 90 | 1.0654 | 5295112 |
| 1.0684 | 0.9700 | 95 | 1.0642 | 5591032 |
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 9, 2026