donut-base-my_model_1_new_1

This model is a fine-tuned version of Manab/donut-base-my_model_1_new_1 on the imagefolder dataset. It achieves the following results on the evaluation set:

• eval_loss: 1.8017
• eval_runtime: 42.3382
• eval_samples_per_second: 0.685
• eval_steps_per_second: 0.094
• epoch: 0.96
• step: 250

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: 2e-05
• train_batch_size: 1
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Framework versions

• Transformers 4.31.0.dev0
• Pytorch 2.0.1+cu118
• Datasets 2.13.1
• Tokenizers 0.13.3