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README.md CHANGED
@@ -46,24 +46,21 @@ The model was trained with the parameters:
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  **DataLoader**:
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- `torch.utils.data.dataloader.DataLoader` of length 1344 with parameters:
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  ```
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  {'batch_size': 10, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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  ```
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  **Loss**:
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- `sentence_transformers.losses.TripletLoss.TripletLoss` with parameters:
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- ```
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- {'distance_metric': 'TripletDistanceMetric.EUCLIDEAN', 'triplet_margin': 5.0}
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- ```
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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": 200,
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- "evaluator": "sentence_transformers.evaluation.TripletEvaluator.TripletEvaluator",
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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": {
@@ -71,7 +68,7 @@ Parameters of the fit()-Method:
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  },
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  "scheduler": "warmuplinear",
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  "steps_per_epoch": null,
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- "warmup_steps": 134,
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  "weight_decay": 0.01
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  }
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  ```
 
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  **DataLoader**:
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+ `torch.utils.data.dataloader.DataLoader` of length 3057 with parameters:
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  ```
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  {'batch_size': 10, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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  ```
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  **Loss**:
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+ `sentence_transformers.losses.CosineSimilarityLoss.CosineSimilarityLoss`
 
 
 
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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": 200,
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+ "evaluator": "sentence_transformers.evaluation.BinaryClassificationEvaluator.BinaryClassificationEvaluator",
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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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  },
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  "scheduler": "warmuplinear",
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  "steps_per_epoch": null,
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+ "warmup_steps": 305,
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  "weight_decay": 0.01
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  }
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  ```
eval/binary_classification_evaluation_results_results.csv ADDED
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