univ-docu-mod

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• eval_loss: 3.1421
• eval_runtime: 320.43
• eval_samples_per_second: 0.593
• eval_steps_per_second: 0.075
• epoch: 1.3274
• step: 300

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: 4
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1