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paligemma_vqav2_finetune_50P_part1 – AI Model by stevenakram | AlphaNeural AI
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stevenakram
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paligemma_vqav2_finetune_50P_part1
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peft
tensorboard
safetensors
generated_from_trainer
vq_av2
google/paligemma-3b-pt-224
adapter
gemma
us
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paligemma_vqav2_finetune_50P_part1
This model is a fine-tuned version of
google/paligemma-3b-pt-224
on the vq_av2 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: 8
total_train_batch_size: 32
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: 2
num_epochs: 3
Training results
Framework versions
PEFT 0.14.0
Transformers 4.50.0.dev0
Pytorch 2.5.1+cu124
Datasets 3.3.2
Tokenizers 0.21.0
