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paligemma-adapter – AI Model by gokulsabari | AlphaNeural AI
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gokulsabari
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paligemma-adapter
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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-adapter
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: 0.9127
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: 4
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: 2
num_epochs: 100
Training results
Training Loss
Epoch
Step
Validation Loss
0.9767
1.0
8560
0.9846
0.9463
2.0
17120
0.9456
0.9415
3.0
25680
0.9300
0.9208
4.0
34240
0.9215
0.9138
5.0
42800
0.9163
0.9138
6.0
51360
0.9127
Framework versions
Transformers 4.44.2
Pytorch 2.4.0+cu118
Datasets 2.20.0
Tokenizers 0.19.1
