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gemma-captioning-lora
chaley22/gemma-captioning-lora
gemma-captioning-lora is a machine learning model from chaley22. 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 4, 2024
- Updated
- Jul 5, 2024
- SHA
- fb54c321
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-captioning-lora
This model is a fine-tuned version of google/gemma-2b on an unknown dataset.
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: 2e-05
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- num_epochs: 1
Training results
Framework versions
- PEFT 0.11.1
- Transformers 4.42.3
- Pytorch 2.2.1+cu121
- Tokenizers 0.19.1
- Library
- peft
- License
- gemma
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024