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paligemma_Mix_Med_VQA_Overall – AI Model by SHRemon97 | AlphaNeural AI
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SHRemon97
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paligemma_Mix_Med_VQA_Overall
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peft
safetensors
generated_from_trainer
google/paligemma-3b-mix-224
adapter
gemma
us
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paligemma_Mix_Med_VQA_Overall
This model is a fine-tuned version of
google/paligemma-3b-mix-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4923
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: 0.0003
train_batch_size: 6
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 24
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
0.6312
0.9079
217
0.5481
0.3645
1.8159
434
0.4459
0.2202
2.7238
651
0.4304
0.1215
3.6318
868
0.4490
0.0843
4.5397
1085
0.4923
Framework versions
PEFT 0.15.2
Transformers 4.45.1
Pytorch 2.6.0+cu124
Datasets 3.0.1
Tokenizers 0.20.3
