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run_gemma-2-2b_20250507_014135
ethansandbar/run_gemma-2-2b_20250507_014135
run_gemma-2-2b_20250507_014135 is a machine learning model from ethansandbar. 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 7, 2025
- Updated
- May 7, 2025
- SHA
- 47297fbb
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. -->
run_gemma-2-2b_20250507_014135
This model is a fine-tuned version of google/gemma-2-2b on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3791
- Accuracy: 0.9261
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- 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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3904 | 1.0 | 250 | 0.4006 | 0.862 |
| 0.2266 | 2.0 | 500 | 0.2929 | 0.934 |
| 0.2031 | 3.0 | 750 | 0.2622 | 0.938 |
| 0.2212 | 4.0 | 1000 | 0.2689 | 0.938 |
| 0.1237 | 5.0 | 1250 | 0.2955 | 0.94 |
Framework versions
- PEFT 0.15.0
- Transformers 4.50.0.dev0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- peft
- License
- gemma
- Created
- May 7, 2025
- Updated
- May 7, 2025