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gemma_hg
alexionby/gemma_hg
gemma_hg is a machine learning model from alexionby. 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 24, 2024
- Updated
- Jun 25, 2024
- SHA
- 1e5b891e
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_hg
This model is a fine-tuned version of google/paligemma-3b-pt-224 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.1803
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2946 | 7.6923 | 25 | 2.8461 |
| 2.4688 | 15.3846 | 50 | 3.0570 |
| 1.7313 | 23.0769 | 75 | 4.2260 |
| 1.1646 | 30.7692 | 100 | 4.8145 |
| 0.8469 | 38.4615 | 125 | 5.0539 |
| 0.7022 | 46.1538 | 150 | 5.1803 |
Framework versions
- PEFT 0.9.0
- Transformers 4.41.2
- Pytorch 2.1.2.post300
- Datasets 2.18.0
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jun 24, 2024
- Updated
- Jun 25, 2024