generated_images_2700
This model is a fine-tuned version of meta-llama/Llama-3.2-11B-Vision-Instruct on the None 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: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Use OptimizerNames.ADAMW_HF with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 5
Training results
Framework versions
- PEFT 0.13.1.dev0
- Transformers 4.46.0.dev0
- Pytorch 2.4.1+cu121
- Datasets 2.16.0
- Tokenizers 0.20.1
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Model tree for raminguyen/generated_images_2700
Base model
meta-llama/Llama-3.2-11B-Vision-Instruct