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  1. 2_Dense/pytorch_model.bin +1 -1
  2. README.md +5 -5
  3. model.safetensors +1 -1
2_Dense/pytorch_model.bin CHANGED
@@ -1,3 +1,3 @@
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README.md CHANGED
@@ -46,9 +46,9 @@ The model was trained with the parameters:
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  **DataLoader**:
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- `torch.utils.data.dataloader.DataLoader` of length 9292 with parameters:
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  ```
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- {'batch_size': 6, 'sampler': 'torch.utils.data.sampler.RandomSampler', 'batch_sampler': 'torch.utils.data.sampler.BatchSampler'}
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  ```
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  **Loss**:
@@ -61,17 +61,17 @@ 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": 2,
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  "evaluation_steps": 100,
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  "evaluator": "__main__.ChainScoreEvaluator",
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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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- "lr": 2e-05
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  },
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  "scheduler": "warmupcosine",
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  "steps_per_epoch": null,
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- "warmup_steps": 1000,
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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 1257 with parameters:
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  ```
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+ {'batch_size': 26, '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": 100,
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  "evaluator": "__main__.ChainScoreEvaluator",
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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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+ "lr": 2.5e-05
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  },
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  "scheduler": "warmupcosine",
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  "steps_per_epoch": null,
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+ "warmup_steps": 200,
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  "weight_decay": 0.01
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  }
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  ```
model.safetensors CHANGED
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