Hugging Face's logo

fklska
/
vit_gpt2_latex

Image-Text-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-to-latex
Generated from Trainer
Model card Files
xet
 Community

vit_gpt2_latex

This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 1.7162

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: 5e-05
  • train_batch_size: 16
  • eval_batch_size: 16
  • seed: 42
  • 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: linear
  • training_steps: 1500
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss
1.5072 1.0 699 1.9415
1.1143 2.0 1398 1.7180
1.0090 2.1459 1500 1.7162

Framework versions

  • Transformers 5.9.0
  • Pytorch 2.11.0+cu128
  • Datasets 4.0.0
  • Tokenizers 0.22.2
Downloads last month
72
Safetensors
Model size
0.2B params
Tensor type
F32
·
Inference Providers NEW
Image-Text-to-Text
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support

Collection including fklska/vit_gpt2_latex