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pali2 – AI Model by QuanHoangNgoc | AlphaNeural AI
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QuanHoangNgoc
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pali2
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peft
tensorboard
safetensors
generated_from_trainer
google/paligemma2-3b-pt-224
adapter
gemma
us
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paligemma2_json_extraction
This model is a fine-tuned version of
google/paligemma2-3b-pt-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9509
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: 5e-05
train_batch_size: 3
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 48
optimizer: Use paged_adamw_8bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
0.8718
0.6093
100
0.9509
Framework versions
PEFT 0.14.0
Transformers 4.47.0
Pytorch 2.5.1+cu121
Datasets 3.3.1
Tokenizers 0.21.0
