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: 1.1620

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
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: 50
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
1.2648	1.0	171	1.2493
1.1574	2.0	342	1.1675
1.1815	3.0	513	1.1620

Framework versions

PEFT 0.19.1
Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.8.5
Tokenizers 0.22.2

Sevval-Gur/smolvlm-mathvision

smolvlm-mathvision

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Sevval-Gur/
smolvlm-mathvision