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paligemma-architecture – AI Model by lmajnaric | AlphaNeural AI
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paligemma-architecture
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transformers
safetensors
paligemma
image-to-text
generated_from_trainer
google/paligemma2-3b-pt-448
finetune
gemma
text-generation-inference
endpoints_compatible
us
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paligemma-architecture
This model is a fine-tuned version of
google/paligemma2-3b-pt-448
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: 2e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 16
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: cosine
lr_scheduler_warmup_steps: 20
num_epochs: 5
Training results
Framework versions
Transformers 4.50.0.dev0
Pytorch 2.6.0+cu124
Datasets 3.4.0
Tokenizers 0.21.0
