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hasan-farooq/
SmolVLM-500M-Instruct-med-vqav1

Name: SmolVLM-500M-Instruct-med-vqav1
Availability: InStock

generated_from_trainer

HuggingFaceTB/SmolVLM-500M-Instruct

finetune

apache-2.0

endpoints_compatible

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SmolVLM-500M-Instruct-med-vqav1

This model is a fine-tuned version of HuggingFaceTB/SmolVLM-500M-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3924

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: 0.0001
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss
1.0375	0.4454	100	0.4305
0.4064	0.8909	200	0.4024
0.3378	1.3341	300	0.3941
0.3348	1.7795	400	0.3924

Framework versions

Transformers 4.48.2
Pytorch 2.5.1+cu124
Datasets 3.3.0
Tokenizers 0.21.0

hasan-farooq/SmolVLM-500M-Instruct-med-vqav1

SmolVLM-500M-Instruct-med-vqav1

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

hasan-farooq/
SmolVLM-500M-Instruct-med-vqav1