update model card README.md

README.md

@@ -2,24 +2,9 @@
 license: mit
 tags:
 - generated_from_trainer
-datasets:
-- amazon_reviews_multi
-metrics:
-- accuracy
 model-index:
 - name: deberta_v3_amazon_reviews
-  results:
-  - task:
-      name: Text Classification
-      type: text-classification
-    dataset:
-      name: amazon_reviews_multi
-      type: amazon_reviews_multi
-      args: en
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.61
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -27,10 +12,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # deberta_v3_amazon_reviews
 
-This model is a fine-tuned version of [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on the amazon_reviews_multi dataset.
-It achieves the following results on the evaluation set:
-- Loss: 0.9723
-- Accuracy: 0.61
+This model is a fine-tuned version of [patrickvonplaten/deberta_v3_amazon_reviews](https://huggingface.co/patrickvonplaten/deberta_v3_amazon_reviews) on an unknown dataset.
 
 ## Model description
 
@@ -56,28 +38,7 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_steps: 200
-- num_epochs: 3
-
-### Training results
-
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.9339        | 0.2   | 5000  | 0.9879          | 0.5876   |
-| 0.9386        | 0.4   | 10000 | 0.9408          | 0.5992   |
-| 0.9127        | 0.6   | 15000 | 0.9118          | 0.6004   |
-| 0.8997        | 0.8   | 20000 | 0.9192          | 0.607    |
-| 0.8853        | 1.0   | 25000 | 0.9167          | 0.6018   |
-| 0.8159        | 1.2   | 30000 | 0.9364          | 0.6064   |
-| 0.8367        | 1.4   | 35000 | 0.9215          | 0.6174   |
-| 0.8322        | 1.6   | 40000 | 0.9076          | 0.6108   |
-| 0.8142        | 1.8   | 45000 | 0.9305          | 0.6148   |
-| 0.8139        | 2.0   | 50000 | 0.9394          | 0.6092   |
-| 0.7279        | 2.2   | 55000 | 0.9868          | 0.605    |
-| 0.715         | 2.4   | 60000 | 0.9865          | 0.6072   |
-| 0.7515        | 2.6   | 65000 | 0.9783          | 0.606    |
-| 0.7363        | 2.8   | 70000 | 0.9765          | 0.6096   |
-| 0.7405        | 3.0   | 75000 | 0.9723          | 0.61     |
-
+- num_epochs: 2
 
 ### Framework versions