Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
medgemma-4b-path-vqa – AI Model by moebouassida | AlphaNeural AI
You can deploy this model and start earning money today!
moebouassida
/
medgemma-4b-path-vqa
like
0
peft
safetensors
adapter
lora
transformers
text-generation
conversational
google/medgemma-4b-it
other
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
medgemma-4b-path-vqa
This model is a fine-tuned version of
google/medgemma-4b-it
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.9293
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: 0.0002
train_batch_size: 8
eval_batch_size: 8
seed: 3407
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 30
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
1.1603
0.1628
100
1.1339
1.0356
0.3256
200
1.0636
1.0304
0.4884
300
1.0121
0.9684
0.6512
400
0.9663
0.8976
0.8140
500
0.9384
0.9495
0.9768
600
0.9294
0.9196
1.0
615
0.9293
Framework versions
PEFT 0.19.1
Transformers 5.11.0
Pytorch 2.6.0+cu124
Datasets 5.0.0
Tokenizers 0.22.2
