End of training

README.md

@@ -3,30 +3,9 @@ license: apache-2.0
 base_model: distilbert-base-uncased
 tags:
 - generated_from_trainer
-datasets:
-- imdb
-metrics:
-- accuracy
-- f1
 model-index:
 - name: distilbert-sentimentanalysis
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      config: plain_text
-      split: test
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.8566666666666667
-    - name: F1
-      type: f1
-      value: 0.8590163934426229
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,11 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilbert-sentimentanalysis
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.3475
-- Accuracy: 0.8567
-- F1: 0.8590
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 
 ## Model description
 
@@ -73,5 +48,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.35.2
 - Pytorch 2.1.0+cu118
-- Datasets 2.14.7
+- Datasets 2.15.0
 - Tokenizers 0.15.0