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EElayoutlmv3_jordyvl_rvl_cdip_100_examples_per_class_2023-07-03_test
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: 2.6984
- Accuracy: 0.13
- Exit 0 Accuracy: 0.0675
- Exit 1 Accuracy: 0.0725
- Exit 2 Accuracy: 0.1125
- 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: 3
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 24
- total_train_batch_size: 72
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
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 | 0.99 | 11 | 2.7287 | 0.13 | 0.07 | 0.0725 | 0.115 | 0.0625 | 0.0625 |
| No log | 1.99 | 22 | 2.6984 | 0.13 | 0.0675 | 0.0725 | 0.1125 | 0.0625 | 0.0625 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1.post200
- Datasets 2.9.0
- Tokenizers 0.13.2
