eskayML/interview_electra

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.8333
-- Accuracy: 0.6316
+- Loss: 2.2828
+- Accuracy: 0.1111
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 95   | 1.0014          | 0.5526   |
-| No log        | 2.0   | 190  | 0.9542          | 0.5526   |
-| No log        | 3.0   | 285  | 0.9142          | 0.5526   |
-| No log        | 4.0   | 380  | 0.8572          | 0.6316   |
-| No log        | 5.0   | 475  | 0.8333          | 0.6316   |
+| No log        | 1.0   | 54   | 2.2942          | 0.0370   |
+| No log        | 2.0   | 108  | 2.2887          | 0.1111   |
+| No log        | 3.0   | 162  | 2.2840          | 0.0370   |
+| No log        | 4.0   | 216  | 2.2825          | 0.0370   |
+| No log        | 5.0   | 270  | 2.2828          | 0.1111   |
 
 
 ### Framework versions

config.json

@@ -10,16 +10,30 @@
   "hidden_dropout_prob": 0.1,
   "hidden_size": 256,
   "id2label": {
-    "0": "multi_level_org_char",
-    "1": "multi_level_org_perspect",
-    "2": "impl_sust_infra"
+    "0": "Provider Characteristics",
+    "1": "Finanicial Impact",
+    "2": "Imaging modalities in general",
+    "3": "Clinical utility & efficiency-Provider perspective",
+    "4": "Health System Characteristics",
+    "5": "Training",
+    "6": "Value equation",
+    "7": "Workflow related problems",
+    "8": "Credentialing / Quality Assurance Infrastructure",
+    "9": "Patient/Physican interaction in LUS"
   },
   "initializer_range": 0.02,
   "intermediate_size": 1024,
   "label2id": {
-    "impl_sust_infra": 2,
-    "multi_level_org_char": 0,
-    "multi_level_org_perspect": 1
+    "Clinical utility & efficiency-Provider perspective": 3,
+    "Credentialing / Quality Assurance Infrastructure": 8,
+    "Finanicial Impact": 1,
+    "Health System Characteristics": 4,
+    "Imaging modalities in general": 2,
+    "Patient/Physican interaction in LUS": 9,
+    "Provider Characteristics": 0,
+    "Training": 5,
+    "Value equation": 6,
+    "Workflow related problems": 7
   },
   "layer_norm_eps": 1e-12,
   "max_position_embeddings": 512,

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:556f8b9bf985eb1299a3a84789f55b050e9d4cba25adbcdcb65ba37c86afa922
+size 54229432

training_args.bin

@@ -1,3 +1,3 @@
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