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eskayML/old_electra_pytranscripts

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  1. README.md +12 -12
  2. config.json +20 -20
  3. model.safetensors +1 -1
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 2.1743
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- - Accuracy: 0.2632
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  ## Model description
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@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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- | No log | 1.0 | 76 | 2.2813 | 0.2368 |
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- | No log | 2.0 | 152 | 2.2611 | 0.1579 |
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- | No log | 3.0 | 228 | 2.2412 | 0.2368 |
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- | No log | 4.0 | 304 | 2.2222 | 0.2632 |
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- | No log | 5.0 | 380 | 2.2071 | 0.2632 |
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- | No log | 6.0 | 456 | 2.1922 | 0.2632 |
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- | 2.1966 | 7.0 | 532 | 2.1866 | 0.2368 |
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- | 2.1966 | 8.0 | 608 | 2.1814 | 0.2105 |
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- | 2.1966 | 9.0 | 684 | 2.1775 | 0.2632 |
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- | 2.1966 | 10.0 | 760 | 2.1743 | 0.2632 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [mrm8488/electra-small-finetuned-squadv2](https://huggingface.co/mrm8488/electra-small-finetuned-squadv2) on the None dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 2.2729
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+ - Accuracy: 0.1111
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | No log | 1.0 | 54 | 2.2936 | 0.0370 |
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+ | No log | 2.0 | 108 | 2.2872 | 0.1111 |
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+ | No log | 3.0 | 162 | 2.2796 | 0.0741 |
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+ | No log | 4.0 | 216 | 2.2798 | 0.0741 |
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+ | No log | 5.0 | 270 | 2.2775 | 0.0741 |
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+ | No log | 6.0 | 324 | 2.2780 | 0.1111 |
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+ | No log | 7.0 | 378 | 2.2801 | 0.0370 |
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+ | No log | 8.0 | 432 | 2.2741 | 0.1111 |
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+ | No log | 9.0 | 486 | 2.2733 | 0.0370 |
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+ | 2.2069 | 10.0 | 540 | 2.2729 | 0.1111 |
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  ### Framework versions
config.json CHANGED
@@ -10,30 +10,30 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 256,
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  "id2label": {
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- "0": "Value equation",
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- "1": "labels",
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- "2": "Financial Impact",
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- "3": "Health System Characteristics",
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- "4": "Clinical utility & efficiency-Provider perspective",
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- "5": "Workflow related problems",
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- "6": "Provider Characteristics",
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- "7": "Training",
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- "8": "Patient/Physician interaction in LUS",
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- "9": "Imaging modalities in general"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 1024,
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  "label2id": {
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- "Clinical utility & efficiency-Provider perspective": 4,
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- "Financial Impact": 2,
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- "Health System Characteristics": 3,
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- "Imaging modalities in general": 9,
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- "Patient/Physician interaction in LUS": 8,
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- "Provider Characteristics": 6,
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- "Training": 7,
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- "Value equation": 0,
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- "Workflow related problems": 5,
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- "labels": 1
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 256,
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  "id2label": {
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+ "0": "Provider Characteristics",
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+ "1": "Financial Impact",
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+ "2": "Imaging modalities in general",
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+ "3": "Clinical utility & efficiency-Provider perspective",
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+ "4": "Health System Characteristics",
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+ "5": "Training",
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+ "6": "Value equation",
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+ "7": "Workflow related problems",
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+ "8": "Credentialing / Quality Assurance Infrastructure",
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+ "9": "Patient/Physician interaction in LUS"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 1024,
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  "label2id": {
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+ "Clinical utility & efficiency-Provider perspective": 3,
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+ "Credentialing / Quality Assurance Infrastructure": 8,
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+ "Financial Impact": 1,
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+ "Health System Characteristics": 4,
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+ "Imaging modalities in general": 2,
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+ "Patient/Physician interaction in LUS": 9,
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+ "Provider Characteristics": 0,
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+ "Training": 5,
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+ "Value equation": 6,
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+ "Workflow related problems": 7
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
model.safetensors CHANGED
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training_args.bin CHANGED
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