Model save

README.md

@@ -0,0 +1,76 @@
+---
+library_name: transformers
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: BERTInvoiceCzechRV1
+  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. -->
+
+# BERTInvoiceCzechRV1
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2295
+- Precision: 0.6594
+- Recall: 0.7309
+- F1: 0.6933
+- Accuracy: 0.9534
+
+## 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   | 65   | 0.2059          | 0.6571    | 0.6781 | 0.6674 | 0.9533   |
+| No log        | 2.0   | 130  | 0.2292          | 0.6598    | 0.7313 | 0.6937 | 0.9534   |
+| No log        | 3.0   | 195  | 0.2172          | 0.6789    | 0.6913 | 0.6850 | 0.9565   |
+| No log        | 4.0   | 260  | 0.2435          | 0.6385    | 0.7565 | 0.6925 | 0.9498   |
+| No log        | 5.0   | 325  | 0.2525          | 0.6347    | 0.7550 | 0.6896 | 0.9489   |
+| No log        | 6.0   | 390  | 0.2723          | 0.5994    | 0.7270 | 0.6571 | 0.9444   |
+| No log        | 7.0   | 455  | 0.2907          | 0.5963    | 0.7429 | 0.6616 | 0.9432   |
+| 0.0306        | 8.0   | 520  | 0.2810          | 0.6146    | 0.7270 | 0.6661 | 0.9463   |
+| 0.0306        | 9.0   | 585  | 0.2853          | 0.6059    | 0.7208 | 0.6584 | 0.9455   |
+| 0.0306        | 10.0  | 650  | 0.2859          | 0.6054    | 0.7239 | 0.6594 | 0.9452   |
+
+
+### 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:f92acb14decffc12280cabb6b84b19ff90a39f121e5b1a8449a7fee3b056890e
+oid sha256:4ca4ac60d3b29980d402f0d68419e167df4e034aa642be12c621997d83f86b49
 size 709170084

runs/Mar08_22-37-53_d6b87f263827/events.out.tfevents.1773009735.d6b87f263827.6166.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2858e8535bdf0fe4650d2e94362c3df00269dc8564f1bb5d1e9961bb47f565b7
+size 560