Model save

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: TomasFAV/BERTInvoiceCzechV0
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERTInvoiceCzechV03
+  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. -->
+
+# BERTInvoiceCzechV03
+
+This model is a fine-tuned version of [TomasFAV/BERTInvoiceCzechV0](https://huggingface.co/TomasFAV/BERTInvoiceCzechV0) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0752
+- Precision: 0.8237
+- Recall: 0.8761
+- F1: 0.8491
+- Accuracy: 0.9796
+
+## 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   | 0.1370          | 0.7194    | 0.7060 | 0.7127 | 0.9615   |
+| No log        | 2.0   | 40   | 0.1126          | 0.7395    | 0.8047 | 0.7707 | 0.9675   |
+| No log        | 3.0   | 60   | 0.0978          | 0.7679    | 0.8388 | 0.8018 | 0.9726   |
+| No log        | 4.0   | 80   | 0.0855          | 0.7783    | 0.8683 | 0.8209 | 0.9747   |
+| No log        | 5.0   | 100  | 0.0813          | 0.8011    | 0.8715 | 0.8348 | 0.9769   |
+| No log        | 6.0   | 120  | 0.0818          | 0.7855    | 0.8676 | 0.8245 | 0.9759   |
+| No log        | 7.0   | 140  | 0.0800          | 0.7989    | 0.8734 | 0.8345 | 0.9767   |
+| No log        | 8.0   | 160  | 0.0752          | 0.8240    | 0.8761 | 0.8492 | 0.9796   |
+| No log        | 9.0   | 180  | 0.0754          | 0.8162    | 0.8707 | 0.8425 | 0.9786   |
+| No log        | 10.0  | 200  | 0.0736          | 0.8244    | 0.8734 | 0.8482 | 0.9795   |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

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runs/Mar21_21-40-22_8b7ec614a1d8/events.out.tfevents.1774129362.8b7ec614a1d8.6076.3

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