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layoutmlv3_thursday_oct_7_v5
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1171
- Precision: 0.8763
- Recall: 0.9075
- F1: 0.8916
- Accuracy: 0.9821
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.86 | 100 | 0.2961 | 0.8166 | 0.8559 | 0.8358 | 0.9372 |
| No log | 1.72 | 200 | 0.1481 | 0.8037 | 0.8594 | 0.8306 | 0.9674 |
| No log | 2.59 | 300 | 0.1191 | 0.8082 | 0.8772 | 0.8413 | 0.9753 |
| No log | 3.45 | 400 | 0.0892 | 0.8969 | 0.9128 | 0.9048 | 0.9844 |
| 0.29 | 4.31 | 500 | 0.1171 | 0.8763 | 0.9075 | 0.8916 | 0.9821 |
| 0.29 | 5.17 | 600 | 0.0994 | 0.8864 | 0.9021 | 0.8942 | 0.9818 |
| 0.29 | 6.03 | 700 | 0.0851 | 0.8901 | 0.8932 | 0.8917 | 0.9844 |
| 0.29 | 6.9 | 800 | 0.0957 | 0.8425 | 0.8950 | 0.8680 | 0.9814 |
| 0.29 | 7.76 | 900 | 0.0951 | 0.8735 | 0.8968 | 0.8850 | 0.9834 |
| 0.1351 | 8.62 | 1000 | 0.1005 | 0.8772 | 0.9021 | 0.8895 | 0.9840 |
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
