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table-transformer-playful-capybara-43
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: 0.0901
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: 8
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
0.8407 | 0.4 | 1000 | 0.3929 |
0.318 | 0.8 | 2000 | 0.2627 |
0.2485 | 1.2 | 3000 | 0.2097 |
0.1992 | 1.6 | 4000 | 0.1889 |
0.1964 | 2.0 | 5000 | 0.1833 |
0.1678 | 2.4 | 6000 | 0.1502 |
0.1517 | 2.8 | 7000 | 0.1421 |
0.1417 | 3.2 | 8000 | 0.1374 |
0.1346 | 3.6 | 9000 | 0.1255 |
0.132 | 4.0 | 10000 | 0.1249 |
0.1211 | 4.4 | 11000 | 0.1183 |
0.1147 | 4.8 | 12000 | 0.1097 |
0.1091 | 5.2 | 13000 | 0.1030 |
0.1082 | 5.6 | 14000 | 0.1014 |
0.1019 | 6.0 | 15000 | 0.1026 |
0.098 | 6.4 | 16000 | 0.0949 |
0.0962 | 6.8 | 17000 | 0.0952 |
0.0945 | 7.2 | 18000 | 0.0915 |
0.0944 | 7.6 | 19000 | 0.0900 |
0.088 | 8.0 | 20000 | 0.0901 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3