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table-transformer-stellar-vortex-81
This model is a fine-tuned version of toobiza/table-transformer-spring-energy-46 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3973
- Loss Ce: 0.0000
- Loss Bbox: 0.0567
- Cardinality Error: 1.0
- Giou: 94.2838
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: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
Training Loss | Epoch | Step | Validation Loss | Loss Ce | Loss Bbox | Cardinality Error | Giou |
---|---|---|---|---|---|---|---|
0.3084 | 0.2 | 1000 | 0.4167 | 0.0000 | 0.0590 | 1.0 | 93.9100 |
0.2526 | 0.4 | 2000 | 0.4272 | 0.0000 | 0.0605 | 1.0 | 93.7657 |
0.2303 | 0.6 | 3000 | 0.3956 | 0.0000 | 0.0561 | 1.0 | 94.2202 |
0.1941 | 0.8 | 4000 | 0.3990 | 0.0000 | 0.0564 | 1.0 | 94.1341 |
0.2073 | 1.0 | 5000 | 0.3811 | 0.0000 | 0.0538 | 1.0 | 94.3922 |
0.1931 | 1.2 | 6000 | 0.3855 | 0.0000 | 0.0547 | 1.0 | 94.3890 |
0.1812 | 1.4 | 7000 | 0.3959 | 0.0000 | 0.0564 | 1.0 | 94.2998 |
0.1515 | 1.6 | 8000 | 0.3897 | 0.0000 | 0.0555 | 1.0 | 94.3756 |
0.1548 | 1.8 | 9000 | 0.3973 | 0.0000 | 0.0567 | 1.0 | 94.2838 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3