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gemma_FT_2
zera09/gemma_FT_2
gemma_FT_2 is a machine learning model from zera09. 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 29, 2024
- Updated
- May 29, 2024
- SHA
- c246b6f2
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_FT_2
This model is a fine-tuned version of google/gemma-2b-it on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.6202
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: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0277 | 0.0005 | 1 | 3.5558 |
| 3.3686 | 0.0011 | 2 | 3.4906 |
| 3.285 | 0.0016 | 3 | 3.3311 |
| 3.025 | 0.0021 | 4 | 3.1640 |
| 3.2431 | 0.0026 | 5 | 3.0050 |
| 3.0431 | 0.0032 | 6 | 2.8713 |
| 2.3602 | 0.0037 | 7 | 2.7724 |
| 2.8696 | 0.0042 | 8 | 2.7056 |
| 2.6496 | 0.0047 | 9 | 2.6637 |
| 2.6983 | 0.0053 | 10 | 2.6401 |
| 2.2396 | 0.0058 | 11 | 2.6268 |
| 2.4519 | 0.0063 | 12 | 2.6202 |
Framework versions
- PEFT 0.8.2
- Transformers 4.41.1
- Pytorch 1.13.1+cu117
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- May 29, 2024
- Updated
- May 29, 2024