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perioli_manifesti_v3.0
This model is a fine-tuned version of microsoft/layoutlmv3-base on the sroie dataset. It achieves the following results on the evaluation set:
- Loss: 0.2823
- Precision: 0.7516
- Recall: 0.8429
- F1: 0.7946
- Accuracy: 0.9620
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 | 1.49 | 100 | 0.2442 | 0.6497 | 0.7286 | 0.6869 | 0.9461 |
| No log | 2.99 | 200 | 0.2503 | 0.6881 | 0.8036 | 0.7414 | 0.9482 |
| No log | 4.48 | 300 | 0.2610 | 0.7053 | 0.8036 | 0.7513 | 0.9548 |
| No log | 5.97 | 400 | 0.2491 | 0.7484 | 0.8179 | 0.7816 | 0.9620 |
| 0.1382 | 7.46 | 500 | 0.2535 | 0.7050 | 0.8107 | 0.7542 | 0.9584 |
| 0.1382 | 8.96 | 600 | 0.2594 | 0.7375 | 0.8429 | 0.7867 | 0.9610 |
| 0.1382 | 10.45 | 700 | 0.2863 | 0.7236 | 0.8321 | 0.7741 | 0.9569 |
| 0.1382 | 11.94 | 800 | 0.2869 | 0.7344 | 0.8393 | 0.7833 | 0.9595 |
| 0.1382 | 13.43 | 900 | 0.2828 | 0.7460 | 0.8393 | 0.7899 | 0.9605 |
| 0.0103 | 14.93 | 1000 | 0.2823 | 0.7516 | 0.8429 | 0.7946 | 0.9620 |
Framework versions
- Transformers 4.27.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.2.2
- Tokenizers 0.13.2
