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paligemma_vqav2_001 – AI Model by NairaRahim | AlphaNeural AI | AlphaNeural AI
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paligemma_vqav2_001
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peft
tensorboard
safetensors
generated_from_trainer
google/paligemma-3b-pt-224
adapter
gemma
us
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paligemma_vqav2_001
This model is a fine-tuned version of
google/paligemma-3b-pt-224
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.6552
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.7553
0.3636
500
0.7282
0.6575
0.7273
1000
0.6835
0.5858
1.0909
1500
0.6673
0.6113
1.4545
2000
0.6612
0.5665
1.8182
2500
0.6552
Framework versions
PEFT 0.13.2
Transformers 4.45.1
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
