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Browse files- README.md +4 -7
- eval/binary_classification_evaluation_results_results.csv +17 -0
- model.safetensors +1 -1
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
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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.
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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.
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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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@@ -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":
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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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```
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eval/binary_classification_evaluation_results_results.csv
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epoch,steps,cossim_accuracy,cossim_accuracy_threshold,cossim_f1,cossim_precision,cossim_recall,cossim_f1_threshold,cossim_ap,manhattan_accuracy,manhattan_accuracy_threshold,manhattan_f1,manhattan_precision,manhattan_recall,manhattan_f1_threshold,manhattan_ap,euclidean_accuracy,euclidean_accuracy_threshold,euclidean_f1,euclidean_precision,euclidean_recall,euclidean_f1_threshold,euclidean_ap,dot_accuracy,dot_accuracy_threshold,dot_f1,dot_precision,dot_recall,dot_f1_threshold,dot_ap
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 437967672
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version https://git-lfs.github.com/spec/v1
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oid sha256:093d06ff95f5b15423e2932e0912bf1c0725c6a91857f91562dc440a6b595309
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size 437967672
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