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ALBARANV2

This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset.

Model description

More information needed

#'test_overall_precision': 0.9253731343283582, #'test_overall_recall': 0.9253731343283582, #'test_overall_f1': 0.9253731343283582, #'test_overall_accuracy': 0.9877300613496932, #'test_runtime': 0.5983, #'test_samples_per_second': 11.699, #'test_steps_per_second': 1.671}

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: 8
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.27.0.dev0
• Pytorch 1.8.0+cu101
• Datasets 2.9.0
• Tokenizers 0.13.2