update model card README.md

README.md

@@ -2,28 +2,12 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- imdb
 metrics:
 - accuracy
 - f1
 model-index:
 - name: finetuning-sentiment-model-3000-samples
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: imdb
-      type: imdb
-      args: plain_text
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.86
-    - name: F1
-      type: f1
-      value: 0.8618421052631579
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,11 +15,11 @@ 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 the imdb 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: 0.3171
-- Accuracy: 0.86
-- F1: 0.8618
+- Loss: 0.4338
+- Accuracy: 0.85
+- F1: 0.9189
 
 ## Model description
 
@@ -55,8 +39,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 4
+- eval_batch_size: 4
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear