End of training

README.md

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+---
+base_model: mdraw/german-news-sentiment-bert
+tags:
+- generated_from_trainer
+model-index:
+- name: german-party-sentiment-bert-241-synonyms
+  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. -->
+
+# german-party-sentiment-bert-241-synonyms
+
+This model is a fine-tuned version of [mdraw/german-news-sentiment-bert](https://huggingface.co/mdraw/german-news-sentiment-bert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0104
+
+## 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: 8e-06
+- train_batch_size: 20
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 120
+- num_epochs: 7
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 1.3705        | 1.0   | 28   | 1.0812          |
+| 1.0214        | 2.0   | 56   | 1.0147          |
+| 1.0214        | 3.0   | 84   | 1.0104          |
+| 0.9279        | 4.0   | 112  | 1.0215          |
+| 0.9279        | 5.0   | 140  | 1.0430          |
+| 0.8797        | 6.0   | 168  | 1.0822          |
+| 0.7917        | 7.0   | 196  | 1.0620          |
+
+
+### Framework versions
+
+- Transformers 4.37.1
+- Pytorch 2.1.2+cu118
+- Tokenizers 0.15.1

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