Update README.md

README.md

@@ -4,9 +4,25 @@ tags:
 - generated_from_trainer
 metrics:
 - f1
+- accuracy
 model-index:
 - name: flan-t5-base-imdb-text-classification
-  results: []
+  results: 
+  - task:
+      name: Sequence-to-sequence Language Modeling
+      type: text2text-generation
+    dataset:
+      name: imdb
+      type: imdb
+      config: imdb
+      split: test
+      args: imdb
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 93.0000
+datasets:
+- imdb
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +30,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # flan-t5-base-imdb-text-classification
 
-This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
+This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the imdb dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0767
 - F1: 95.084
@@ -24,9 +40,6 @@ It achieves the following results on the evaluation set:
 
 More information needed
 
-## Intended uses & limitations
-
-More information needed
 
 ## Training and evaluation data
 
@@ -54,4 +67,4 @@ The following hyperparameters were used during training:
 - Transformers 4.28.1
 - Pytorch 2.0.0+cu118
 - Datasets 2.12.0
-- Tokenizers 0.13.3
+- Tokenizers 0.13.3