Edit model card

stable-diffusion-sinop

This model is a fine-tuned version of microsoft/git-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 6.7572
  • Wer Score: 72.7778

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: 64
  • eval_batch_size: 64
  • seed: 42
  • gradient_accumulation_steps: 2
  • total_train_batch_size: 128
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 50

Training results

Training Loss Epoch Step Validation Loss Wer Score
3.8191 50.0 50 6.7572 72.7778

Framework versions

  • Transformers 4.28.1
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3
Downloads last month
12
Inference API
Inference API (serverless) does not yet support transformers models for this pipeline type.