metadata

license: mit
base_model: microsoft/table-transformer-detection
tags:
  - generated_from_trainer
model-index:
  - name: margin-element-detector-fm-stilted-surf-9
    results: []

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