End of training

README.md

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+---
+license: mit
+base_model: oliverguhr/german-sentiment-bert
+tags:
+- generated_from_trainer
+model-index:
+- name: german-sentiment-bert-retrained-20240110
+  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-sentiment-bert-retrained-20240110
+
+This model is a fine-tuned version of [oliverguhr/german-sentiment-bert](https://huggingface.co/oliverguhr/german-sentiment-bert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6099
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 2.5995        | 1.0   | 3    | 1.8235          |
+| 2.5995        | 2.0   | 6    | 1.8114          |
+| 2.5995        | 3.0   | 9    | 1.7902          |
+| 2.5995        | 4.0   | 12   | 1.7628          |
+| 2.5995        | 5.0   | 15   | 1.7234          |
+| 2.5995        | 6.0   | 18   | 1.6716          |
+| 2.5995        | 7.0   | 21   | 1.6099          |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Tokenizers 0.15.0