Fine-tuned student model training completed

README.md

@@ -4,22 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - clinc_oos
-metrics:
-- accuracy
 model-index:
 - name: distilbert-base-uncased-finetuned-clinc
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: clinc_oos
-      type: clinc_oos
-      args: plus
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.9180645161290323
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,9 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # distilbert-base-uncased-finetuned-clinc
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.7719
-- Accuracy: 0.9181
 
 ## Model description
 
@@ -57,17 +41,6 @@ The following hyperparameters were used during training:
 - lr_scheduler_type: linear
 - num_epochs: 5
 
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.2882          | 0.7426   |
-| 3.7861        | 2.0   | 636  | 1.8744          | 0.8381   |
-| 3.7861        | 3.0   | 954  | 1.1567          | 0.8958   |
-| 1.6922        | 4.0   | 1272 | 0.8569          | 0.9132   |
-| 0.9055        | 5.0   | 1590 | 0.7719          | 0.9181   |
-
-
 ### Framework versions
 
 - Transformers 4.16.2

config.json

@@ -320,7 +320,6 @@
   "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,

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