update model card README.md

README.md

@@ -1,5 +1,5 @@
 ---
-license: apache-2.0
+license: mit
 tags:
 - generated_from_trainer
 metrics:
@@ -17,13 +17,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 # twitter-data-microsoft-deberta-base-mnli-sentiment-finetuned-memes
 
-This model is a fine-tuned version of [distilbert-base-uncased-finetuned-sst-2-english](https://huggingface.co/distilbert-base-uncased-finetuned-sst-2-english) on the None dataset.
+This model is a fine-tuned version of [microsoft/deberta-base-mnli](https://huggingface.co/microsoft/deberta-base-mnli) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2466
+- Loss: 0.2438
 - Accuracy: 0.9296
-- Precision: 0.9308
+- Precision: 0.9301
 - Recall: 0.9296
-- F1: 0.9297
+- F1: 0.9296
 
 ## Model description
 
@@ -54,12 +54,12 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy | Precision | Recall | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|:---------:|:------:|:------:|
-| 0.3533        | 1.0   | 1762  | 0.3078          | 0.9020   | 0.9037    | 0.9020 | 0.9020 |
-| 0.2664        | 2.0   | 3524  | 0.2622          | 0.9208   | 0.9219    | 0.9208 | 0.9207 |
-| 0.227         | 3.0   | 5286  | 0.2514          | 0.9253   | 0.9267    | 0.9253 | 0.9254 |
-| 0.2081        | 4.0   | 7048  | 0.2458          | 0.9268   | 0.9275    | 0.9268 | 0.9268 |
-| 0.187         | 5.0   | 8810  | 0.2450          | 0.9292   | 0.9300    | 0.9292 | 0.9292 |
-| 0.1802        | 6.0   | 10572 | 0.2466          | 0.9296   | 0.9308    | 0.9296 | 0.9297 |
+| 0.3622        | 1.0   | 1762  | 0.2933          | 0.9060   | 0.9065    | 0.9060 | 0.9057 |
+| 0.2601        | 2.0   | 3524  | 0.2593          | 0.9194   | 0.9196    | 0.9194 | 0.9192 |
+| 0.2282        | 3.0   | 5286  | 0.2365          | 0.9279   | 0.9287    | 0.9279 | 0.9280 |
+| 0.1977        | 4.0   | 7048  | 0.2325          | 0.9293   | 0.9298    | 0.9293 | 0.9293 |
+| 0.181         | 5.0   | 8810  | 0.2421          | 0.9291   | 0.9301    | 0.9291 | 0.9292 |
+| 0.1629        | 6.0   | 10572 | 0.2438          | 0.9296   | 0.9301    | 0.9296 | 0.9296 |
 
 
 ### Framework versions