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idefics3-llama-vqav2_1
This model is a fine-tuned version of HuggingFaceM4/Idefics3-8B-Llama3 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: 0.0001
- train_batch_size: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 1
Training results
Framework versions
- PEFT 0.12.0
- Transformers 4.45.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 3.0.0
- Tokenizers 0.19.1
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Model tree for fsommers/idefics3-llama-vqav2_1
Base model
HuggingFaceM4/Idefics3-8B-Llama3