finetuned_paligemma_blackjack
This model is a fine-tuned version of google/paligemma-3b-pt-224 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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 3
- total_train_batch_size: 12
- optimizer: Use paged_adamw_8bit 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: 150
Training results
Framework versions
- PEFT 0.14.0
- Transformers 4.47.1
- Pytorch 2.2.2+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Model tree for davidr99/finetuned_paligemma_blackjack
Base model
google/paligemma-3b-pt-224