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pixelprose_vlm_caps_100k – AI Model by vasusingla | AlphaNeural AI
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pixelprose_vlm_caps_100k
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tensorboard
safetensors
paligemma
generated_from_trainer
google/paligemma-3b-pt-224
finetune
gemma
us
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pixelprose_vlm_caps_100k
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 4
gradient_accumulation_steps: 2
total_train_batch_size: 64
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 1600
Training results
Framework versions
Transformers 4.44.0
Pytorch 2.3.1
Datasets 2.20.0
Tokenizers 0.19.1
