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  1. README.md +5 -5
  2. pytorch_model.bin +1 -1
  3. sentencepiece.bpe.model +3 -0
README.md CHANGED
@@ -85,9 +85,9 @@ The model was trained with the parameters:
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  **DataLoader**:
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- `torch.utils.data.dataloader.DataLoader` of length 2415 with parameters:
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  ```
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- {'batch_size': 8, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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  ```
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  **Loss**:
@@ -100,8 +100,8 @@ The model was trained with the parameters:
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  Parameters of the fit()-Method:
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  ```
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  {
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- "epochs": 25,
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- "evaluation_steps": 1000,
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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'>",
@@ -110,7 +110,7 @@ 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": 6037,
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  "weight_decay": 1e-05
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  }
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  ```
 
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  **DataLoader**:
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+ `torch.utils.data.dataloader.DataLoader` of length 966 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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  Parameters of the fit()-Method:
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  ```
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  {
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+ "epochs": 10,
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+ "evaluation_steps": 500,
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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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  },
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  "scheduler": "WarmupLinear",
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  "steps_per_epoch": null,
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+ "warmup_steps": 966,
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  "weight_decay": 1e-05
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  }
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  ```
pytorch_model.bin CHANGED
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  size 116808857
 
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  size 116808857
sentencepiece.bpe.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
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