git-base-caption

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

  • Loss: 6.6179
  • Wer Score: 9.0625

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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: linear
  • num_epochs: 50
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Wer Score
10.1592 10.0 10 8.7538 31.2656
8.2408 20.0 20 7.7825 31.5
7.4378 30.0 30 7.1866 15.625
6.9092 40.0 40 6.7962 9.375
6.5994 50.0 50 6.6179 9.0625

Framework versions

  • Transformers 4.48.2
  • Pytorch 2.5.1+cu124
  • Tokenizers 0.21.0
Downloads last month
0
Safetensors
Model size
177M params
Tensor type
F32
·
Inference Providers NEW
This model is not currently available via any of the supported Inference Providers.

Model tree for Duyen1rt/git-base-caption

Base model

microsoft/git-base
Finetuned
(110)
this model