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0721_201833-google-gemma-2b
steve-sli/0721_201833-google-gemma-2b
0721_201833-google-gemma-2b is a machine learning model from steve-sli. 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
- Jul 21, 2024
- Updated
- Jul 21, 2024
- SHA
- 030ac673
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. -->
0721_201833-google-gemma-2b
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: 0.7621
- Accuracy: 0.515
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: 1e-08
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.734 | 0.7692 | 5 | 0.7622 | 0.515 |
| 0.8399 | 1.5385 | 10 | 0.7622 | 0.515 |
| 0.7834 | 2.3077 | 15 | 0.7622 | 0.515 |
| 0.7012 | 3.0769 | 20 | 0.7622 | 0.515 |
| 0.7259 | 3.8462 | 25 | 0.7621 | 0.515 |
| 0.8204 | 4.6154 | 30 | 0.7621 | 0.515 |
| 0.7768 | 5.3846 | 35 | 0.7621 | 0.515 |
| 0.8371 | 6.1538 | 40 | 0.7621 | 0.515 |
| 0.7098 | 6.9231 | 45 | 0.7621 | 0.515 |
| 0.8716 | 7.6923 | 50 | 0.7621 | 0.515 |
| 0.6456 | 8.4615 | 55 | 0.7621 | 0.515 |
| 0.7848 | 9.2308 | 60 | 0.7621 | 0.515 |
Framework versions
- PEFT 0.11.1
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jul 21, 2024
- Updated
- Jul 21, 2024