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TomasFAV
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Pix2StructCzechInvoiceV0123

Image-Text-to-Text
Transformers
TensorBoard
Safetensors
pix2struct
Generated from Trainer
invoice-processing
information-extraction
czech-language
document-ai
multimodal-model
generative-model
synthetic-data
hybrid-data
real-data
Model card Files
xet
 Metrics Community
TomasFAV commited on
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Files changed (3) hide show
  1. README.md +14 -14
  2. model.safetensors +1 -1
  3. runs/Mar15_01-23-47_77b291cf41b2/events.out.tfevents.1773539087.77b291cf41b2.25725.1 +3 -0
README.md CHANGED
@@ -5,19 +5,19 @@ tags:
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  metrics:
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  - f1
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  model-index:
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- - name: Pix2StructCzechInvoiceV2
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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- # Pix2StructCzechInvoiceV2
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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: 0.2521
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- - F1: 0.7311
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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- | 0.3432 | 1.0 | 115 | 0.2771 | 0.6644 |
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- | 0.1942 | 2.0 | 230 | 0.2611 | 0.6745 |
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- | 0.1934 | 3.0 | 345 | 0.2521 | 0.7311 |
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- | 0.1325 | 4.0 | 460 | 0.2665 | 0.7133 |
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- | 0.1131 | 5.0 | 575 | 0.2686 | 0.6762 |
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- | 0.1125 | 6.0 | 690 | 0.2601 | 0.7277 |
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- | 0.1011 | 7.0 | 805 | 0.2962 | 0.7118 |
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- | 0.1229 | 8.0 | 920 | 0.2893 | 0.7095 |
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- | 0.0861 | 9.0 | 1035 | 0.3019 | 0.6931 |
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- | 0.0860 | 10.0 | 1150 | 0.3167 | 0.7186 |
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  ### Framework versions
 
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  metrics:
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  - f1
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  model-index:
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+ - name: Pix2StructCzechInvoiceV3
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  results: []
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  should probably proofread and complete it, then remove this comment. -->
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+ # Pix2StructCzechInvoiceV3
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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: 0.1542
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+ - F1: 0.8404
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|
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+ | 0.3277 | 1.0 | 23 | 0.1958 | 0.7239 |
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+ | 0.2366 | 2.0 | 46 | 0.1446 | 0.8037 |
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+ | 0.1780 | 3.0 | 69 | 0.1247 | 0.8060 |
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+ | 0.1153 | 4.0 | 92 | 0.1178 | 0.8316 |
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+ | 0.0895 | 5.0 | 115 | 0.1279 | 0.8312 |
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+ | 0.0774 | 6.0 | 138 | 0.1542 | 0.8404 |
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+ | 0.0766 | 7.0 | 161 | 0.1530 | 0.7972 |
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+ | 0.0697 | 8.0 | 184 | 0.1385 | 0.8372 |
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+ | 0.0804 | 9.0 | 207 | 0.1433 | 0.7963 |
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+ | 0.0664 | 10.0 | 230 | 0.1614 | 0.7991 |
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  ### Framework versions
model.safetensors CHANGED
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runs/Mar15_01-23-47_77b291cf41b2/events.out.tfevents.1773539087.77b291cf41b2.25725.1 ADDED
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