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TomasFAV
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Layoutlmv3InvoiceCzechV0

Token Classification
Transformers
TensorBoard
Safetensors
layoutlmv3
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
layout-aware-model
multimodal-model
synthetic-data
Model card Files
xet
 Metrics Community
TomasFAV commited on
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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Mar09_00-01-22_19d8f43ec3fa/events.out.tfevents.1773015254.19d8f43ec3fa.10140.1 +3 -0
README.md CHANGED
@@ -21,11 +21,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1834
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- - Precision: 0.5373
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- - Recall: 0.7563
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- - F1: 0.6283
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- - Accuracy: 0.9617
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  ## Model description
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@@ -44,8 +44,8 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 3e-05
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- - train_batch_size: 16
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -58,16 +58,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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- | No log | 1.0 | 75 | 0.2909 | 0.0 | 0.0 | 0.0 | 0.9473 |
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- | No log | 2.0 | 150 | 0.1741 | 0.4488 | 0.5787 | 0.5055 | 0.9572 |
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- | No log | 3.0 | 225 | 0.1619 | 0.5217 | 0.6920 | 0.5949 | 0.9619 |
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- | No log | 4.0 | 300 | 0.1833 | 0.5373 | 0.7547 | 0.6277 | 0.9617 |
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- | No log | 5.0 | 375 | 0.1940 | 0.4972 | 0.7631 | 0.6021 | 0.9564 |
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- | No log | 6.0 | 450 | 0.2306 | 0.4703 | 0.7377 | 0.5744 | 0.9547 |
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- | 0.2740 | 7.0 | 525 | 0.2299 | 0.4846 | 0.7174 | 0.5784 | 0.9552 |
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- | 0.2740 | 8.0 | 600 | 0.2386 | 0.4716 | 0.7310 | 0.5733 | 0.9509 |
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- | 0.2740 | 9.0 | 675 | 0.2195 | 0.4806 | 0.7327 | 0.5804 | 0.9534 |
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- | 0.2740 | 10.0 | 750 | 0.2092 | 0.4897 | 0.7259 | 0.5849 | 0.9561 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [microsoft/layoutlmv3-base](https://huggingface.co/microsoft/layoutlmv3-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.2146
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+ - Precision: 0.5354
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+ - Recall: 0.7428
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+ - F1: 0.6223
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+ - Accuracy: 0.9583
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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  - eval_batch_size: 1
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 
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  | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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+ | No log | 1.0 | 150 | 0.2817 | 0.1429 | 0.0829 | 0.1049 | 0.9470 |
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+ | No log | 2.0 | 300 | 0.2222 | 0.3480 | 0.4822 | 0.4043 | 0.9480 |
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+ | No log | 3.0 | 450 | 0.2170 | 0.3852 | 0.5736 | 0.4609 | 0.9480 |
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+ | 0.5287 | 4.0 | 600 | 0.1919 | 0.4625 | 0.6261 | 0.5320 | 0.9558 |
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+ | 0.5287 | 5.0 | 750 | 0.1701 | 0.5254 | 0.7174 | 0.6066 | 0.9627 |
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+ | 0.5287 | 6.0 | 900 | 0.2060 | 0.5173 | 0.7327 | 0.6064 | 0.9565 |
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+ | 0.0360 | 7.0 | 1050 | 0.2161 | 0.5370 | 0.7124 | 0.6124 | 0.9594 |
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+ | 0.0360 | 8.0 | 1200 | 0.2146 | 0.5359 | 0.7445 | 0.6232 | 0.9584 |
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+ | 0.0360 | 9.0 | 1350 | 0.2141 | 0.5268 | 0.7327 | 0.6129 | 0.9578 |
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+ | 0.0147 | 10.0 | 1500 | 0.2131 | 0.5393 | 0.7310 | 0.6207 | 0.9597 |
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  ### Framework versions
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