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gemma_outreach_first_level
KirubaLS/gemma_outreach_first_level
gemma_outreach_first_level is a machine learning model from KirubaLS. 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
- Jun 16, 2025
- Updated
- Jun 16, 2025
- SHA
- 433d2dea
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. -->
gemma_outreach_first_level
This model is a fine-tuned version of google/gemma-2b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 32 | nan |
| 0.0 | 2.0 | 64 | nan |
| 0.0 | 3.0 | 96 | nan |
| 0.0 | 4.0 | 128 | nan |
| 0.0 | 5.0 | 160 | nan |
Framework versions
- PEFT 0.15.2
- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Library
- peft
- License
- gemma
- Created
- Jun 16, 2025
- Updated
- Jun 16, 2025