Model save

README.md

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+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERTInvoiceCzechRV2
+  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. -->
+
+# BERTInvoiceCzechRV2
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1326
+- Precision: 0.8120
+- Recall: 0.7868
+- F1: 0.7992
+- Accuracy: 0.9700
+
+## 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   | 87   | 0.1326          | 0.7356    | 0.7270 | 0.7312 | 0.9636   |
+| No log        | 2.0   | 174  | 0.1226          | 0.7985    | 0.7604 | 0.7790 | 0.9704   |
+| No log        | 3.0   | 261  | 0.1224          | 0.7880    | 0.7852 | 0.7866 | 0.9689   |
+| No log        | 4.0   | 348  | 0.1325          | 0.7557    | 0.7783 | 0.7668 | 0.9657   |
+| No log        | 5.0   | 435  | 0.1390          | 0.7655    | 0.8229 | 0.7932 | 0.9674   |
+| 0.0733        | 6.0   | 522  | 0.1324          | 0.7709    | 0.8155 | 0.7926 | 0.9682   |
+| 0.0733        | 7.0   | 609  | 0.1326          | 0.8123    | 0.7868 | 0.7994 | 0.9700   |
+| 0.0733        | 8.0   | 696  | 0.1366          | 0.8109    | 0.7775 | 0.7938 | 0.9697   |
+| 0.0733        | 9.0   | 783  | 0.1385          | 0.7893    | 0.7930 | 0.7912 | 0.9686   |
+| 0.0733        | 10.0  | 870  | 0.1393          | 0.8044    | 0.7938 | 0.7991 | 0.9696   |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

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runs/Mar08_22-43-34_d6b87f263827/events.out.tfevents.1773010132.d6b87f263827.8220.1

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