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paligemma_vqav2 – AI Model by DepositorOP | AlphaNeural AI
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DepositorOP
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paligemma_vqav2
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transformers
safetensors
paligemma
image-to-text
generated_from_trainer
google/paligemma-3b-pt-224
finetune
gemma
text-generation-inference
endpoints_compatible
us
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paligemma_vqav2
This model is a fine-tuned version of
google/paligemma-3b-pt-224
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.3246
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
0.559
1.0
100
0.3466
0.3354
2.0
200
0.3246
Framework versions
Transformers 4.44.2
Pytorch 2.1.0+cu118
Datasets 3.0.0
Tokenizers 0.19.1
