metadata

license: mit
base_model: microsoft/table-transformer-detection
tags:
  - generated_from_trainer
model-index:
  - name: table-transformer-effortless-wildflower-30
    results: []

table-transformer-effortless-wildflower-30

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: 0.3960
eval_runtime: 14.2542
eval_samples_per_second: 13.821
eval_steps_per_second: 6.945
epoch: 0.82
step: 400

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: 1e-05
train_batch_size: 4
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Framework versions

Transformers 4.33.2
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3