update model card README.md

README.md

@@ -2,12 +2,30 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+datasets:
+- imdb
 metrics:
 - accuracy
 - f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: train
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8733333333333333
+    - name: F1
+      type: f1
+      value: 0.8733333333333333
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,11 +33,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # finetuning-sentiment-model-3000-samples
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+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: 0.3125
-- Accuracy: 0.86
-- F1: 0.8627
+- Loss: 0.3135
+- Accuracy: 0.8733
+- F1: 0.8733
 
 ## Model description
 
@@ -54,4 +72,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.22.2
 - Pytorch 1.12.1+cu113
+- Datasets 2.5.2
 - Tokenizers 0.12.1