update model card README.md

README.md

@@ -1,8 +1,7 @@
 ---
+license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- f1
 model-index:
 - name: distilroberta-base-culinary
   results: []
@@ -13,10 +12,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 # distilroberta-base-culinary
 
-This model was trained from scratch on the None dataset.
+This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1049
-- F1: 0.9849
+- Loss: 1.0820
 
 ## Model description
 
@@ -45,15 +43,12 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.1718        | 0.5   | 500  | 0.0960          | 0.9819 |
-| 0.1554        | 1.0   | 1000 | 0.0701          | 0.9819 |
-| 0.0752        | 1.51  | 1500 | 0.1325          | 0.9699 |
-| 0.0669        | 2.01  | 2000 | 0.0880          | 0.9849 |
-| 0.0312        | 2.51  | 2500 | 0.1450          | 0.9759 |
-| 0.0287        | 3.01  | 3000 | 0.0962          | 0.9819 |
-| 0.0098        | 3.51  | 3500 | 0.1049          | 0.9849 |
+| Training Loss | Epoch | Step   | Validation Loss |
+|:-------------:|:-----:|:------:|:---------------:|
+| 1.3285        | 1.0   | 72679  | 1.2932          |
+| 1.1837        | 2.0   | 145358 | nan             |
+| 1.1466        | 3.0   | 218037 | 1.1180          |
+| 1.0833        | 4.0   | 290716 | 1.0820          |
 
 
 ### Framework versions