eskayML/old_bert_pytranscripts

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 1.8049
-- Accuracy: 0.4474
+- Loss: 1.9884
+- Accuracy: 0.3333
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 76   | 2.2367          | 0.2105   |
-| No log        | 2.0   | 152  | 2.1704          | 0.1842   |
-| No log        | 3.0   | 228  | 2.0889          | 0.2632   |
-| No log        | 4.0   | 304  | 2.0155          | 0.3947   |
-| No log        | 5.0   | 380  | 1.9199          | 0.4211   |
-| No log        | 6.0   | 456  | 1.8875          | 0.4474   |
-| 1.8928        | 7.0   | 532  | 1.8419          | 0.4737   |
-| 1.8928        | 8.0   | 608  | 1.8211          | 0.4211   |
-| 1.8928        | 9.0   | 684  | 1.8140          | 0.4474   |
-| 1.8928        | 10.0  | 760  | 1.8049          | 0.4474   |
+| No log        | 1.0   | 54   | 2.2727          | 0.1481   |
+| No log        | 2.0   | 108  | 2.2323          | 0.1852   |
+| No log        | 3.0   | 162  | 2.1763          | 0.2222   |
+| No log        | 4.0   | 216  | 2.1122          | 0.1852   |
+| No log        | 5.0   | 270  | 2.0832          | 0.2593   |
+| No log        | 6.0   | 324  | 2.0456          | 0.2593   |
+| No log        | 7.0   | 378  | 2.0264          | 0.2593   |
+| No log        | 8.0   | 432  | 2.0041          | 0.3333   |
+| No log        | 9.0   | 486  | 1.9960          | 0.2963   |
+| 1.8646        | 10.0  | 540  | 1.9884          | 0.3333   |
 
 
 ### Framework versions

config.json

@@ -9,29 +9,29 @@
   "dropout": 0.1,
   "hidden_dim": 3072,
   "id2label": {
-    "0": "Value equation",
-    "1": "labels",
-    "2": "Financial Impact",
-    "3": "Health System Characteristics",
-    "4": "Clinical utility & efficiency-Provider perspective",
-    "5": "Workflow related problems",
-    "6": "Provider Characteristics",
-    "7": "Training",
-    "8": "Patient/Physician interaction in LUS",
-    "9": "Imaging modalities in general"
+    "0": "Provider Characteristics",
+    "1": "Financial 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/Physician interaction in LUS"
   },
   "initializer_range": 0.02,
   "label2id": {
-    "Clinical utility & efficiency-Provider perspective": 4,
-    "Financial Impact": 2,
-    "Health System Characteristics": 3,
-    "Imaging modalities in general": 9,
-    "Patient/Physician interaction in LUS": 8,
-    "Provider Characteristics": 6,
-    "Training": 7,
-    "Value equation": 0,
-    "Workflow related problems": 5,
-    "labels": 1
+    "Clinical utility & efficiency-Provider perspective": 3,
+    "Credentialing / Quality Assurance Infrastructure": 8,
+    "Financial Impact": 1,
+    "Health System Characteristics": 4,
+    "Imaging modalities in general": 2,
+    "Patient/Physician interaction in LUS": 9,
+    "Provider Characteristics": 0,
+    "Training": 5,
+    "Value equation": 6,
+    "Workflow related problems": 7
   },
   "max_position_embeddings": 512,
   "model_type": "distilbert",

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:f1b56d9adec1afdce7de487850451b6072e8b37d8da461e2acafdeccd6065eb4
 size 267857176

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:10c4fa272805d35736836a3e009621bd76996807c65d9d36c3031044a285f570
 size 5304