update model card README.md

README.md

@@ -4,28 +4,9 @@ tags:
 - generated_from_trainer
 datasets:
 - imdb
-metrics:
-- accuracy
-- f1
 model-index:
 - name: my-sentiment-model
-  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: 0.93008
-    - name: F1
-      type: f1
-      value: 0.9302139891408495
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -34,10 +15,6 @@ should probably proofread and complete it, then remove this comment. -->
 # my-sentiment-model
 
 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: 0.3033
-- Accuracy: 0.9301
-- F1: 0.9302
 
 ## Model description
 
@@ -62,7 +39,7 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 3
+- num_epochs: 4
 
 ### Training results
 
@@ -71,6 +48,6 @@ The following hyperparameters were used during training:
 ### Framework versions
 
 - Transformers 4.28.0
-- Pytorch 2.0.1+cu118
+- Pytorch 2.0.1+cu117
 - Datasets 2.12.0
 - Tokenizers 0.13.3