metadata
license: mit
base_model: microsoft/table-transformer-detection
tags:
- generated_from_trainer
model-index:
- name: table-transformer-fiery-silence-39
results: []
table-transformer-fiery-silence-39
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:
- Loss: 0.1709
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: 5e-06
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0833 | 1.0 | 125 | 0.1725 |
| 0.0803 | 2.0 | 250 | 0.1700 |
| 0.0746 | 3.0 | 375 | 0.1703 |
| 0.072 | 4.0 | 500 | 0.1720 |
| 0.0691 | 5.0 | 625 | 0.1733 |
| 0.0676 | 6.0 | 750 | 0.1698 |
| 0.0661 | 7.0 | 875 | 0.1712 |
| 0.0634 | 8.0 | 1000 | 0.1713 |
| 0.0624 | 9.0 | 1125 | 0.1722 |
| 0.0654 | 10.0 | 1250 | 0.1709 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3