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
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Model tree for AmineAllo/table-transformer-effortless-wildflower-30
Base model
microsoft/table-transformer-detection