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EElayoutlmv3_rvl-cdip_single_10_2023-04-14
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 16.6313
- Accuracy: {'accuracy': 0.1}
- Exit 0 Accuracy: 0.1062
- Exit 1 Accuracy: 0.0625
- Exit 2 Accuracy: 0.0813
- Exit 3 Accuracy: 0.0625
- Exit 4 Accuracy: 0.0625
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: 2e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Exit 0 Accuracy | Exit 1 Accuracy | Exit 2 Accuracy | Exit 3 Accuracy | Exit 4 Accuracy |
|---|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 160 | 16.6313 | {'accuracy': 0.1} | 0.1062 | 0.0625 | 0.0813 | 0.0625 | 0.0625 |
Framework versions
- Transformers 4.28.0.dev0
- Pytorch 1.12.1+cu113
- Datasets 2.9.0
- Tokenizers 0.12.1
