Update README.md

README.md

@@ -1,71 +1,44 @@
----
-license: mit
-base_model: dbmdz/bert-base-german-uncased
-tags:
-- generated_from_trainer
-metrics:
-- precision
-- recall
-- f1
-- accuracy
-model-index:
-- name: crawler_cat_brick_model
-  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. -->
-
-# crawler_cat_brick_model
-
-This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on an unknown dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9439
-- Precision: 0.8768
-- Recall: 0.8768
-- F1: 0.8768
-- Accuracy: 0.8768
-
-## 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: 2e-05
-- train_batch_size: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
-- lr_scheduler_type: linear
-- lr_scheduler_warmup_steps: 500
-- num_epochs: 5
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Precision | Recall | F1     | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 1.9828        | 1.0   | 5026  | 1.7270          | 0.7746    | 0.7746 | 0.7746 | 0.7746   |
-| 1.2807        | 2.0   | 10052 | 1.3068          | 0.8189    | 0.8189 | 0.8189 | 0.8189   |
-| 0.9826        | 3.0   | 15078 | 1.0816          | 0.8535    | 0.8535 | 0.8535 | 0.8535   |
-| 0.6745        | 4.0   | 20104 | 0.9756          | 0.8699    | 0.8699 | 0.8699 | 0.8699   |
-| 0.5616        | 5.0   | 25130 | 0.9439          | 0.8768    | 0.8768 | 0.8768 | 0.8768   |
-
-
-### Framework versions
-
-- Transformers 4.41.2
-- Pytorch 2.0.1+cu117
-- Datasets 2.20.0
-- Tokenizers 0.19.1
+---
+license: mit
+base_model: dbmdz/bert-base-german-uncased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: crawler_cat_brick_model
+  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. -->
+
+# crawler_cat_brick_model
+
+This model is a fine-tuned version of [dbmdz/bert-base-german-uncased](https://huggingface.co/dbmdz/bert-base-german-uncased) on an unknown dataset.
+
+## Model description
+
+Ein BERT-Modell zur Klassifikation von Produkten in GPC-Brick-Klassen
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.0.1+cu117
+- Datasets 2.20.0
+- Tokenizers 0.19.1