margin-element-detector-fm-stilted-surf-9

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

• eval_loss: 1.4665
• eval_loss_ce: 0.2389
• eval_loss_bbox: 0.0545
• eval_cardinality_error: 1.4690
• eval_giou: 52.2560
• eval_runtime: 60.1105
• eval_samples_per_second: 16.636
• eval_steps_per_second: 4.159
• epoch: 2.0
• step: 5000

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: 0.0001
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 20

Framework versions

• Transformers 4.33.2
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.13.3