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README.md
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## Evaluation Results
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<!--- Describe how your model was evaluated -->
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For an automated evaluation of this model, see the *Sentence Embeddings Benchmark*: [https://seb.sbert.net](https://seb.sbert.net?model_name={MODEL_NAME})
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## Training
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The model was trained with the parameters:
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`sentence_transformers.losses.MSELoss.MSELoss`
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Parameters of the fit()-Method:
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```
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{
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"epochs": 1,
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"evaluation_steps": 500,
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"evaluator": "sentence_transformers.evaluation.SequentialEvaluator.SequentialEvaluator",
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"max_grad_norm": 1,
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"optimizer_class": "<class 'torch.optim.adamw.AdamW'>",
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"optimizer_params": {
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"eps": 1e-06,
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"lr": 1e-07
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},
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"scheduler": "WarmupLinear",
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"steps_per_epoch": null,
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"warmup_steps": 100,
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"weight_decay": 0.01
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}
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```
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## Full Model Architecture
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```
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```
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## Training
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The model was trained with the parameters:
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`sentence_transformers.losses.MSELoss.MSELoss`
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## Full Model Architecture
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```
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