Model save

README.md

@@ -1,3 +1,88 @@
----
-license: mit
----
+---
+library_name: transformers
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERTInvoiceCzech
+  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. -->
+
+# BERTInvoiceCzech
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0222
+- Precision: 0.9591
+- Recall: 0.9633
+- F1: 0.9612
+- Accuracy: 0.9929
+
+## 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_ratio: 0.1
+- num_epochs: 20
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 42   | 1.2228          | 0.0       | 0.0    | 0.0    | 0.7831   |
+| No log        | 2.0   | 84   | 0.5729          | 0.4183    | 0.4014 | 0.4097 | 0.8535   |
+| No log        | 3.0   | 126  | 0.3043          | 0.6654    | 0.6861 | 0.6756 | 0.9155   |
+| No log        | 4.0   | 168  | 0.2019          | 0.7618    | 0.7872 | 0.7743 | 0.9406   |
+| No log        | 5.0   | 210  | 0.1278          | 0.8161    | 0.8587 | 0.8369 | 0.9627   |
+| No log        | 6.0   | 252  | 0.0823          | 0.8727    | 0.9063 | 0.8892 | 0.9762   |
+| No log        | 7.0   | 294  | 0.0599          | 0.9086    | 0.9284 | 0.9184 | 0.9824   |
+| No log        | 8.0   | 336  | 0.0451          | 0.9335    | 0.9484 | 0.9409 | 0.9864   |
+| No log        | 9.0   | 378  | 0.0373          | 0.9388    | 0.9499 | 0.9443 | 0.9877   |
+| No log        | 10.0  | 420  | 0.0323          | 0.9458    | 0.9558 | 0.9508 | 0.9897   |
+| No log        | 11.0  | 462  | 0.0283          | 0.9506    | 0.9580 | 0.9543 | 0.9914   |
+| 0.4073        | 12.0  | 504  | 0.0277          | 0.9567    | 0.9620 | 0.9594 | 0.9920   |
+| 0.4073        | 13.0  | 546  | 0.0243          | 0.9517    | 0.9568 | 0.9542 | 0.9916   |
+| 0.4073        | 14.0  | 588  | 0.0256          | 0.9610    | 0.9661 | 0.9635 | 0.9928   |
+| 0.4073        | 15.0  | 630  | 0.0245          | 0.9588    | 0.9633 | 0.9610 | 0.9927   |
+| 0.4073        | 16.0  | 672  | 0.0231          | 0.9606    | 0.9636 | 0.9621 | 0.9930   |
+| 0.4073        | 17.0  | 714  | 0.0239          | 0.9582    | 0.9627 | 0.9604 | 0.9925   |
+| 0.4073        | 18.0  | 756  | 0.0221          | 0.9606    | 0.9642 | 0.9624 | 0.9931   |
+| 0.4073        | 19.0  | 798  | 0.0222          | 0.9594    | 0.9639 | 0.9617 | 0.9930   |
+| 0.4073        | 20.0  | 840  | 0.0222          | 0.9591    | 0.9633 | 0.9612 | 0.9929   |
+
+
+### Framework versions
+
+- Transformers 4.57.6
+- Pytorch 2.9.0+cu126
+- Datasets 4.0.0
+- Tokenizers 0.22.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:87849400adc06a4a1118e71c08ac647ea92bc30da7a528f0dfb08864897f7d15
+oid sha256:9d5ba0b8b6c5b1477bff2589e4a9515cd6f98357bdccc6f09e15b62deaf60d7d
 size 709188564