Fine-tuned student model training completed

README.md

@@ -1,25 +1,13 @@
 ---
 license: apache-2.0
+base_model: distilbert-base-uncased
 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: 0.9083870967741936
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +15,10 @@ 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.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8080
-- Accuracy: 0.9084
+- Loss: 0.7761
+- Accuracy: 0.9174
 
 ## Model description
 
@@ -61,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 318  | 3.3061          | 0.6681   |
-| 3.8033        | 2.0   | 636  | 1.9122          | 0.8271   |
-| 3.8033        | 3.0   | 954  | 1.1951          | 0.8832   |
-| 1.7323        | 4.0   | 1272 | 0.8907          | 0.9039   |
-| 0.9371        | 5.0   | 1590 | 0.8080          | 0.9084   |
+| No log        | 1.0   | 318  | 3.2998          | 0.7132   |
+| 3.7996        | 2.0   | 636  | 1.8739          | 0.8390   |
+| 3.7996        | 3.0   | 954  | 1.1564          | 0.8903   |
+| 1.689         | 4.0   | 1272 | 0.8571          | 0.9126   |
+| 0.9017        | 5.0   | 1590 | 0.7761          | 0.9174   |
 
 
 ### Framework versions
 
-- Transformers 4.16.2
-- Pytorch 2.1.2+cu121
-- Datasets 1.16.1
+- Transformers 4.37.2
+- Pytorch 2.2.0+cu121
+- Datasets 2.16.1
 - Tokenizers 0.15.1

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:540cb48d6d62dda4135d99db3551cd60c2824b946892a637963f17de79b49ec3
 size 268290900