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adapters
c-mohanraj/adapters
adapters is a text generation model from c-mohanraj. Use it when you need the model to write or continue text. 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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Repo size
238 MB
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.model4.7 MB · 80%
At a glance
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Access
- Public
- Created
- Sep 26, 2025
- Updated
- Sep 26, 2025
- SHA
- 5b4eae1b
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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. -->
adapters
This model is a fine-tuned version of google/gemma-3-27b-it on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1753
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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.PAGED_ADAMW_8BIT with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6826 | 0.7529 | 200 | 0.2053 |
| 1.3485 | 1.5045 | 400 | 0.1804 |
| 1.082 | 2.2560 | 600 | 0.1753 |
Framework versions
- PEFT 0.17.1
- Transformers 4.56.2
- Pytorch 2.6.0+cu124
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Text Generation
- Library
- peft
- License
- gemma
- Created
- Sep 26, 2025
- Updated
- Sep 26, 2025