Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERTInvoiceCzechRV3
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# BERTInvoiceCzechRV3
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0630
+- Precision: 0.8620
+- Recall: 0.9072
+- F1: 0.8840
+- Accuracy: 0.9830
+
+## 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: 1e-05
+- train_batch_size: 16
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 0.1
+- num_epochs: 10
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 20   | 0.0919          | 0.7824    | 0.8645 | 0.8214 | 0.9730   |
+| No log        | 2.0   | 40   | 0.0701          | 0.8581    | 0.8874 | 0.8725 | 0.9810   |
+| No log        | 3.0   | 60   | 0.0684          | 0.8481    | 0.8951 | 0.8710 | 0.9809   |
+| No log        | 4.0   | 80   | 0.0709          | 0.8311    | 0.9060 | 0.8670 | 0.9802   |
+| No log        | 5.0   | 100  | 0.0634          | 0.8680    | 0.8913 | 0.8795 | 0.9826   |
+| No log        | 6.0   | 120  | 0.0666          | 0.8479    | 0.9091 | 0.8774 | 0.9818   |
+| No log        | 7.0   | 140  | 0.0670          | 0.8454    | 0.8983 | 0.8710 | 0.9812   |
+| No log        | 8.0   | 160  | 0.0632          | 0.8604    | 0.9045 | 0.8819 | 0.9825   |
+| No log        | 9.0   | 180  | 0.0644          | 0.8593    | 0.9083 | 0.8831 | 0.9828   |
+| No log        | 10.0  | 200  | 0.0630          | 0.8620    | 0.9072 | 0.8840 | 0.9830   |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

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