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paligemma_curriculum_inverse_cadica_det_checkpoint_lora8 – AI Model by TRUBETSKOY | AlphaNeural AI
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paligemma_curriculum_inverse_cadica_det_checkpoint_lora8
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peft
tensorboard
safetensors
generated_from_trainer
google/paligemma2-3b-pt-224
adapter
gemma
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paligemma_curriculum_inverse_cadica_det_checkpoint_lora8
This model is a fine-tuned version of
google/paligemma2-3b-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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Use adamw_torch 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
training_steps: 2000
Training results
Framework versions
PEFT 0.14.0
Transformers 4.48.1
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.21.0
