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paligemma-device-labels – AI Model by tman1224 | AlphaNeural AI
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tman1224
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paligemma-device-labels
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peft
safetensors
adapter
lora
transformers
text-generation
google/paligemma-3b-pt-224
gemma
us
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paligemma-device-labels
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: 0.0000
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: 0.0005
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
27.8596
2.0
20
0.0613
0.0001
4.0
40
0.0000
Framework versions
PEFT 0.16.0
Transformers 4.53.0
Pytorch 2.7.1
Datasets 3.6.0
Tokenizers 0.21.2
