update model card README.md

README.md

@@ -3,7 +3,7 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 datasets:
-- poem_sentiment
+- rotten_tomatoes
 metrics:
 - accuracy
 model-index:
@@ -13,15 +13,15 @@ model-index:
       name: Text Classification
       type: text-classification
     dataset:
-      name: poem_sentiment
-      type: poem_sentiment
+      name: rotten_tomatoes
+      type: rotten_tomatoes
       config: default
       split: train[:200]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.65
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # my_awesome_model
 
-This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the poem_sentiment dataset.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the rotten_tomatoes dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1819
-- Accuracy: 0.65
+- Loss: 0.4502
+- Accuracy: 1.0
 
 ## Model description
 
@@ -63,8 +63,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 2    | 1.2274          | 0.65     |
-| No log        | 2.0   | 4    | 1.1819          | 0.65     |
+| No log        | 1.0   | 2    | 0.4784          | 1.0      |
+| No log        | 2.0   | 4    | 0.4502          | 1.0      |
 
 
 ### Framework versions