Model save

README.md

@@ -0,0 +1,78 @@
+---
+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: BERTInvoiceCzechR
+  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. -->
+
+# BERTInvoiceCzechR
+
+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: 0.3291
+- Precision: 0.5188
+- Recall: 0.6917
+- F1: 0.5929
+- Accuracy: 0.9335
+
+## 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   | 0.3944          | 0.1965    | 0.2233 | 0.2091 | 0.8997   |
+| No log        | 2.0   | 174  | 0.2951          | 0.4152    | 0.4517 | 0.4327 | 0.9241   |
+| No log        | 3.0   | 261  | 0.2896          | 0.4790    | 0.5810 | 0.5251 | 0.9314   |
+| No log        | 4.0   | 348  | 0.3295          | 0.4549    | 0.6443 | 0.5333 | 0.9226   |
+| No log        | 5.0   | 435  | 0.3249          | 0.4908    | 0.6866 | 0.5724 | 0.9281   |
+| 0.3757        | 6.0   | 522  | 0.3615          | 0.4646    | 0.6827 | 0.5529 | 0.9216   |
+| 0.3757        | 7.0   | 609  | 0.3376          | 0.4913    | 0.6579 | 0.5625 | 0.9299   |
+| 0.3757        | 8.0   | 696  | 0.3290          | 0.5194    | 0.6924 | 0.5935 | 0.9336   |
+| 0.3757        | 9.0   | 783  | 0.3604          | 0.4906    | 0.6858 | 0.5720 | 0.9279   |
+| 0.3757        | 10.0  | 870  | 0.3515          | 0.5011    | 0.6944 | 0.5821 | 0.9296   |
+
+
+### Framework versions
+
+- Transformers 5.0.0
+- Pytorch 2.10.0+cu128
+- Datasets 4.0.0
+- Tokenizers 0.22.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:82fbe9177267a330f4634e71bbc62ff12355e4531e2a8a8fcdc1389564c9f67c
+oid sha256:5282c7cd4146905eca9a2b80436f6ac40ba09ee4e95ff4ac46a4f77269daccac
 size 709170084

runs/Mar08_22-29-58_d6b87f263827/events.out.tfevents.1773009362.d6b87f263827.2736.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:10fa020e0348d5419e8af77a6377f7ee943cdb903a4df3e9c367d17efbc0b7e8
+size 560