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TomasFAV
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LiLTInvoiceCzechV012

Token Classification
Transformers
TensorBoard
Safetensors
lilt
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
layout-aware-model
synthetic-data
hybrid-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/Mar08_22-51-29_7e44ac7b5aa4/events.out.tfevents.1773011199.7e44ac7b5aa4.9199.1 +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: 0.0739
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- - Precision: 0.7075
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- - Recall: 0.7716
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- - F1: 0.7382
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- - Accuracy: 0.9820
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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: 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 | 115 | 0.0764 | 0.6056 | 0.7078 | 0.6528 | 0.9777 |
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- | No log | 2.0 | 230 | 0.0693 | 0.6829 | 0.7490 | 0.7144 | 0.9809 |
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- | No log | 3.0 | 345 | 0.0710 | 0.6812 | 0.7387 | 0.7088 | 0.9809 |
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- | No log | 4.0 | 460 | 0.0695 | 0.6994 | 0.7469 | 0.7224 | 0.9822 |
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- | 0.0486 | 5.0 | 575 | 0.0738 | 0.7089 | 0.7716 | 0.7389 | 0.9821 |
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- | 0.0486 | 6.0 | 690 | 0.0817 | 0.6722 | 0.7551 | 0.7112 | 0.9802 |
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- | 0.0486 | 7.0 | 805 | 0.0783 | 0.7 | 0.7490 | 0.7237 | 0.9813 |
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- | 0.0486 | 8.0 | 920 | 0.0825 | 0.6930 | 0.7572 | 0.7237 | 0.9810 |
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- | 0.0257 | 9.0 | 1035 | 0.0809 | 0.7071 | 0.7551 | 0.7303 | 0.9820 |
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- | 0.0257 | 10.0 | 1150 | 0.0818 | 0.7004 | 0.7551 | 0.7267 | 0.9813 |
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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: 0.1123
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+ - Precision: 0.7716
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+ - Recall: 0.7782
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+ - F1: 0.7749
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+ - Accuracy: 0.9783
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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 | 58 | 0.1026 | 0.5982 | 0.6758 | 0.6346 | 0.9680 |
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+ | No log | 2.0 | 116 | 0.0993 | 0.7140 | 0.6775 | 0.6953 | 0.9745 |
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+ | No log | 3.0 | 174 | 0.1024 | 0.7227 | 0.7116 | 0.7171 | 0.9756 |
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+ | No log | 4.0 | 232 | 0.1198 | 0.6538 | 0.7543 | 0.7005 | 0.9708 |
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+ | No log | 5.0 | 290 | 0.1150 | 0.7157 | 0.7218 | 0.7188 | 0.9749 |
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+ | No log | 6.0 | 348 | 0.1133 | 0.7095 | 0.7628 | 0.7352 | 0.9750 |
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+ | No log | 7.0 | 406 | 0.1122 | 0.7716 | 0.7782 | 0.7749 | 0.9783 |
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+ | No log | 8.0 | 464 | 0.1168 | 0.7311 | 0.7747 | 0.7523 | 0.9762 |
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+ | 0.0341 | 9.0 | 522 | 0.1237 | 0.7249 | 0.7645 | 0.7442 | 0.9757 |
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+ | 0.0341 | 10.0 | 580 | 0.1218 | 0.7447 | 0.7867 | 0.7651 | 0.9768 |
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  ### Framework versions
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