NathanVoldman
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README.md
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---
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library_name: peft
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license: llama3.2
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base_model: meta-llama/Llama-3.2-11B-Vision-Instruct
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tags:
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- trl
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- sft
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- generated_from_trainer
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model-index:
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- name: finetune-llama-vision-qa
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# finetune-llama-vision-qa
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This model is a fine-tuned version of [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) on an unknown dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 0.0002
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- train_batch_size: 4
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: constant
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- lr_scheduler_warmup_ratio: 0.03
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- num_epochs: 3
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### Training results
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### Framework versions
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- PEFT 0.13.0
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- Transformers 4.45.1
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- Pytorch 2.4.0+cu121
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- Datasets 3.0.1
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- Tokenizers 0.20.1
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adapter_model.safetensors
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runs/Dec02_20-28-32_epona-02/events.out.tfevents.1733164135.epona-02.4163880.0
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