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paligemma-3b-224-ft-vizwiztxtvqa – AI Model by nanom | AlphaNeural AI
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nanom
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paligemma-3b-224-ft-vizwiztxtvqa
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transformers
tensorboard
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-3b-224-ft-vizwiztxtvqa
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: 1.2252
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: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.7729
1.0
134
0.8734
0.2513
2.0
268
0.9472
0.0574
3.0
402
1.0768
0.0308
4.0
536
1.1988
0.0065
5.0
670
1.2252
Framework versions
Transformers 4.41.1
Pytorch 2.2.2+cu121
Datasets 2.19.1
Tokenizers 0.19.1
