update model card README.md

README.md

@@ -1,13 +1,25 @@
 ---
-language:
-- en
+license: mit
 tags:
 - generated_from_trainer
 datasets:
 - glue
+metrics:
+- accuracy
 model-index:
 - name: roberta-base-sst2
-  results: []
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: glue
+      type: glue
+      args: sst2
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9288990825688074
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +27,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # roberta-base-sst2
 
-This model is a fine-tuned version of [./fine-tune/roberta-base/sst2/](https://huggingface.co/./fine-tune/roberta-base/sst2/) on the GLUE SST2 dataset.
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3162
+- Accuracy: 0.9289
 
 ## Model description
 
@@ -43,6 +58,16 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.06
 - num_epochs: 10.0
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2287        | 1.0   | 4210  | 0.2314          | 0.9358   |
+| 0.1959        | 2.0   | 8420  | 0.3027          | 0.9266   |
+| 0.1635        | 3.0   | 12630 | 0.3022          | 0.9300   |
+| 0.1148        | 4.0   | 16840 | 0.3162          | 0.9289   |
+
+
 ### Framework versions
 
 - Transformers 4.20.0.dev0