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TomasFAV
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LiLTInvoiceCzechV01

Token Classification
Transformers
TensorBoard
Safetensors
lilt
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
layout-aware-model
synthetic-data
layout-augmentation
Model card Files
xet
 Metrics Community
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  1. README.md +17 -17
  2. model.safetensors +1 -1
  3. runs/Mar08_22-41-51_7e44ac7b5aa4/events.out.tfevents.1773010208.7e44ac7b5aa4.5654.1 +3 -0
README.md CHANGED
@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1101
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- - Precision: 0.5522
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- - Recall: 0.7078
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- - F1: 0.6204
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- - Accuracy: 0.9722
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  ## Model description
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@@ -42,8 +42,8 @@ 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: 1e-05
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- - train_batch_size: 8
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  - eval_batch_size: 2
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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
@@ -56,16 +56,16 @@ 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 | 0.1099 | 0.5531 | 0.7078 | 0.6209 | 0.9722 |
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- | No log | 2.0 | 150 | 0.1329 | 0.4901 | 0.6646 | 0.5642 | 0.9670 |
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- | No log | 3.0 | 225 | 0.1456 | 0.5118 | 0.6708 | 0.5806 | 0.9684 |
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- | No log | 4.0 | 300 | 0.1223 | 0.5661 | 0.6872 | 0.6208 | 0.9724 |
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- | No log | 5.0 | 375 | 0.1264 | 0.5591 | 0.6523 | 0.6021 | 0.9721 |
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- | No log | 6.0 | 450 | 0.1512 | 0.5078 | 0.6687 | 0.5773 | 0.9673 |
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- | 0.0188 | 7.0 | 525 | 0.1347 | 0.5492 | 0.6667 | 0.6022 | 0.9711 |
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- | 0.0188 | 8.0 | 600 | 0.1360 | 0.5411 | 0.6502 | 0.5907 | 0.9702 |
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- | 0.0188 | 9.0 | 675 | 0.1407 | 0.5381 | 0.6543 | 0.5905 | 0.9702 |
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- | 0.0188 | 10.0 | 750 | 0.1417 | 0.5400 | 0.6523 | 0.5909 | 0.9702 |
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  ### Framework versions
 
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  This model was trained from scratch on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.1907
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+ - Precision: 0.6326
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+ - Recall: 0.7491
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+ - F1: 0.6859
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+ - Accuracy: 0.9660
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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: 3e-05
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+ - train_batch_size: 16
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  - eval_batch_size: 2
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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 | 38 | 0.1676 | 0.5917 | 0.6826 | 0.6339 | 0.9639 |
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+ | No log | 2.0 | 76 | 0.1810 | 0.6123 | 0.6604 | 0.6355 | 0.9643 |
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+ | No log | 3.0 | 114 | 0.1906 | 0.6317 | 0.7491 | 0.6854 | 0.9660 |
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+ | No log | 4.0 | 152 | 0.1764 | 0.6380 | 0.6587 | 0.6482 | 0.9659 |
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+ | No log | 5.0 | 190 | 0.1737 | 0.6544 | 0.6689 | 0.6616 | 0.9696 |
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+ | No log | 6.0 | 228 | 0.1752 | 0.6728 | 0.6911 | 0.6818 | 0.9695 |
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+ | No log | 7.0 | 266 | 0.1951 | 0.6083 | 0.6758 | 0.6403 | 0.9658 |
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+ | No log | 8.0 | 304 | 0.1962 | 0.6162 | 0.6741 | 0.6438 | 0.9656 |
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+ | No log | 9.0 | 342 | 0.1939 | 0.6700 | 0.6962 | 0.6828 | 0.9701 |
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+ | No log | 10.0 | 380 | 0.1931 | 0.6645 | 0.6928 | 0.6784 | 0.9696 |
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  ### Framework versions
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