eskayML/interview_classifier

README.md

@@ -4,8 +4,6 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: interview_classifier
   results: []
@@ -17,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # interview_classifier
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.4205
-- Accuracy: 0.8684
 
 ## Model description
 
@@ -46,22 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 10
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 95   | 0.8682          | 0.7105   |
-| No log        | 2.0   | 190  | 0.6114          | 0.7632   |
-| No log        | 3.0   | 285  | 0.5425          | 0.8421   |
-| No log        | 4.0   | 380  | 0.5898          | 0.8421   |
-| No log        | 5.0   | 475  | 0.5797          | 0.8421   |
-| 0.6499        | 6.0   | 570  | 0.5694          | 0.8421   |
-| 0.6499        | 7.0   | 665  | 0.5204          | 0.8421   |
-| 0.6499        | 8.0   | 760  | 0.4596          | 0.8421   |
-| 0.6499        | 9.0   | 855  | 0.4310          | 0.8684   |
-| 0.6499        | 10.0  | 950  | 0.4205          | 0.8684   |
-
-
 ### Framework versions
 
 - Transformers 4.46.2

config.json

@@ -9,22 +9,35 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "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,
   "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
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",
   "n_heads": 12,
   "n_layers": 6,
   "pad_token_id": 0,
-  "problem_type": "single_label_classification",
   "qa_dropout": 0.1,
   "seq_classif_dropout": 0.2,
   "sinusoidal_pos_embds": false,

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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-size 267835644
+oid sha256:21d46da7190cee32bf6b5982b0afa63c01df020db1ee3eb240e63338c06d2360
+size 267857176