Layout-finetuned-fr-model-100instancesV1
This model is a fine-tuned version of microsoft/layoutxlm-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
3.7885 | 0.4 | 10 | 0.9847 |
0.3999 | 0.8 | 20 | 0.0030 |
0.0031 | 1.2 | 30 | 0.0004 |
0.0009 | 1.6 | 40 | 0.0002 |
0.0004 | 2.0 | 50 | 0.0002 |
0.0004 | 2.4 | 60 | 0.0001 |
0.0003 | 2.8 | 70 | 0.0001 |
0.0003 | 3.2 | 80 | 0.0001 |
0.0003 | 3.6 | 90 | 0.0001 |
0.0003 | 4.0 | 100 | 0.0001 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.4.1.post100
- Datasets 3.2.0
- Tokenizers 0.15.2
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Model tree for AntonioTH/Layout-finetuned-fr-model-100instancesV1
Base model
microsoft/layoutxlm-base