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CBT-Gemma2-2B-Frac
Zilexzz/CBT-Gemma2-2B-Frac
CBT-Gemma2-2B-Frac is a machine learning model from Zilexzz. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as gemma.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- May 22, 2026
- Updated
- May 22, 2026
- SHA
- aa28b766
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. -->
CBT-Gemma2-2B-Frac
This model is a fine-tuned version of google/gemma-2-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8412
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 3407
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.953 | 0.0572 | 100 | 0.9531 |
| 0.9325 | 0.1145 | 200 | 0.9239 |
| 0.9062 | 0.1717 | 300 | 0.9123 |
| 0.8994 | 0.2290 | 400 | 0.9025 |
| 0.9128 | 0.2862 | 500 | 0.8948 |
| 0.8969 | 0.3435 | 600 | 0.8887 |
| 0.8957 | 0.4007 | 700 | 0.8844 |
| 0.8665 | 0.4580 | 800 | 0.8764 |
| 0.8827 | 0.5152 | 900 | 0.8746 |
| 0.8395 | 0.5725 | 1000 | 0.8692 |
| 0.8978 | 0.6297 | 1100 | 0.8631 |
| 0.8497 | 0.6870 | 1200 | 0.8565 |
| 0.8722 | 0.7442 | 1300 | 0.8535 |
| 0.827 | 0.8015 | 1400 | 0.8495 |
| 0.8251 | 0.8587 | 1500 | 0.8434 |
| 0.8179 | 0.9160 | 1600 | 0.8436 |
| 0.8188 | 0.9732 | 1700 | 0.8361 |
| 0.7207 | 1.0305 | 1800 | 0.8458 |
| 0.6991 | 1.0877 | 1900 | 0.8428 |
| 0.7176 | 1.1450 | 2000 | 0.8412 |
Framework versions
- PEFT 0.13.2
- Transformers 4.45.2
- Pytorch 2.6.0+cu124
- Datasets 3.0.1
- Tokenizers 0.20.3
- Library
- peft
- License
- gemma
- Created
- May 22, 2026
- Updated
- May 22, 2026