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Model: LLukas22/bert-base-uncased-embedding-step-scheduler
Source: Original Platform

README.md

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+---
+license: cc-by-nc-4.0
+pipeline_tag: sentence-similarity
+tags:
+    - sentence-transformers
+    - feature-extraction
+    - sentence-similarity
+    - transformers
+    - generated_from_trainer
+datasets:
+    - squad
+---
+
+# bert-base-uncased-embedding-step-scheduler
+
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [squad](https://huggingface.co/datasets/squad) dataset.
+
+
+
+## Usage (Sentence-Transformers)
+
+Using this model becomes easy when you have [sentence-transformers](https://www.SBERT.net) installed:
+
+```
+pip install -U sentence-transformers
+```
+
+Then you can use the model like this:
+
+```python
+from sentence_transformers import SentenceTransformer
+sentences = ["This is an example sentence", "Each sentence is converted"]
+
+model = SentenceTransformer('LLukas22/bert-base-uncased-embedding-step-scheduler')
+embeddings = model.encode(sentences)
+print(embeddings)
+```
+
+## Training hyperparameters
+The following hyperparameters were used during training:
+
+- learning_rate: 2E-05
+- per device batch size: 26
+- effective batch size: 26
+- seed: 42
+- optimizer: AdamW with betas (0.9,0.999) and eps 1E-08
+- weight decay: 1E-02
+- D-Adaptation: False
+- Warmup: False
+- number of epochs: 3
+- mixed_precision_training: bf16
+
+## Training results
+| Epoch | Train Loss | Validation Loss |
+| ----- | ---------- | --------------- |
+| 0 | 0.0647 | 0.0876 |
+| 1 | 0.0328 | 0.0826 |
+| 2 | 0.0298 | 0.082 |
+
+## Evaluation results
+| Epoch | top_1 | top_3 | top_5 | top_10 | top_25 |
+| ----- | ----- | ----- | ----- | ----- | ----- |
+| 0 | 0.586 | 0.778 | 0.843 | 0.911 | 0.968 |
+| 1 | 0.596 | 0.792 | 0.853 | 0.917 | 0.969 |
+| 2 | 0.595 | 0.794 | 0.854 | 0.917 | 0.97 |
+
+## Framework versions
+- Transformers: 4.25.1
+- PyTorch: 1.13.1
+- PyTorch Lightning: 1.8.6
+- Datasets: 2.7.1
+- Tokenizers: 0.12.1
+- Sentence Transformers: 2.2.2
+
+## Additional Information
+This model was trained as part of my Master's Thesis **'Evaluation of transformer based language models for use in service information systems'**. The source code is available on [Github](https://github.com/LLukas22/Master).