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gemma2-mentalchat16k
advy/gemma2-mentalchat16k
gemma2-mentalchat16k is a machine learning model from advy. 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
- Nov 16, 2025
- Updated
- Nov 17, 2025
- SHA
- f98d555b
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. -->
gemma2-mentalchat16k
This model is a fine-tuned version of google/gemma-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.7946
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: 3
- eval_batch_size: 3
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 6
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.0076 | 0.1122 | 100 | 0.9827 |
| 0.9399 | 0.2243 | 200 | 0.9345 |
| 0.9054 | 0.3365 | 300 | 0.9031 |
| 0.8561 | 0.4487 | 400 | 0.8859 |
| 0.8794 | 0.5609 | 500 | 0.8711 |
| 0.844 | 0.6730 | 600 | 0.8557 |
| 0.8305 | 0.7852 | 700 | 0.8461 |
| 0.8207 | 0.8974 | 800 | 0.8400 |
| 0.8117 | 1.0090 | 900 | 0.8529 |
| 0.7338 | 1.1211 | 1000 | 0.8448 |
| 0.7422 | 1.2333 | 1100 | 0.8332 |
| 0.6964 | 1.3455 | 1200 | 0.8273 |
| 0.7064 | 1.4577 | 1300 | 0.8252 |
| 0.7201 | 1.5698 | 1400 | 0.8170 |
| 0.7162 | 1.6820 | 1500 | 0.8121 |
| 0.688 | 1.7942 | 1600 | 0.8088 |
| 0.7166 | 1.9063 | 1700 | 0.7998 |
| 0.636 | 2.0179 | 1800 | 0.8447 |
| 0.5388 | 2.1301 | 1900 | 0.8485 |
| 0.5319 | 2.2423 | 2000 | 0.8444 |
| 0.5396 | 2.3545 | 2100 | 0.8498 |
| 0.5523 | 2.4666 | 2200 | 0.8446 |
Framework versions
- PEFT 0.15.2
- Transformers 4.54.1
- Pytorch 2.7.1+cu118
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- peft
- License
- gemma
- Created
- Nov 16, 2025
- Updated
- Nov 17, 2025