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layoutlmv3-testing-v0
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: 2.6958
- Precision: 0.2244
- Recall: 0.2148
- F1: 0.2195
- Accuracy: 0.3239
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.59 | 10 | 3.1329 | 0.0147 | 0.0143 | 0.0145 | 0.1690 |
| No log | 1.18 | 20 | 2.9569 | 0.1115 | 0.0716 | 0.0872 | 0.2069 |
| No log | 1.76 | 30 | 2.8145 | 0.2026 | 0.1480 | 0.1710 | 0.2482 |
| No log | 2.35 | 40 | 2.7292 | 0.2158 | 0.1957 | 0.2053 | 0.3014 |
| No log | 2.94 | 50 | 2.6958 | 0.2244 | 0.2148 | 0.2195 | 0.3239 |
Framework versions
- Transformers 4.30.0.dev0
- Pytorch 1.8.0+cu101
- Datasets 2.12.0
- Tokenizers 0.13.3
