Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
SmolVLM-Instruct-med-vqav1 – AI Model by hasan-farooq | AlphaNeural AI
You can deploy this model and start earning money today!
hasan-farooq
/
SmolVLM-Instruct-med-vqav1
like
0
transformers
tensorboard
safetensors
idefics3
image-to-text
generated_from_trainer
HuggingFaceTB/SmolVLM-Instruct
finetune
apache-2.0
endpoints_compatible
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
SmolVLM-Instruct-med-vqav1
This model is a fine-tuned version of
HuggingFaceTB/SmolVLM-Instruct
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1712
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: 0.001
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Use OptimizerNames.ADAMW_HF 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: 50
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.3885
0.4454
100
0.2168
0.1862
0.8909
200
0.1728
0.1258
1.3341
300
0.1678
0.1131
1.7795
400
0.1615
0.0885
2.2227
500
0.1682
0.0656
2.6682
600
0.1712
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0
