paligemma2_ft_od
This model is a fine-tuned version of google/paligemma2-3b-pt-448 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: 1
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 16
- optimizer: Use 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: 2
- num_epochs: 16
Training results
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
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Model tree for terrian/PaliGemma2_ft_od_bottle300
Base model
google/paligemma2-3b-pt-448