update model card README.md

README.md

@@ -3,18 +3,18 @@ license: apache-2.0
 tags:
 - generated_from_trainer
 model-index:
-- name: distilroberta-base-culinary
+- name: roberta-base-culinary
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# distilroberta-base-culinary
+# roberta-base-culinary
 
 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: 1.0820
+- Loss: 1.2586
 
 ## Model description
 
@@ -39,21 +39,27 @@ The following hyperparameters were used during training:
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 10
 
 ### Training results
 
 | 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          |
+| 1.7143        | 1.0   | 22655  | 1.5815          |
+| 1.5183        | 2.0   | 45310  | 1.5212          |
+| 1.4607        | 3.0   | 67965  | 1.4339          |
+| 1.397         | 4.0   | 90620  | 1.3838          |
+| 1.4282        | 5.0   | 113275 | 1.3366          |
+| 1.2718        | 6.0   | 135930 | 1.3315          |
+| 1.2505        | 7.0   | 158585 | 1.2756          |
+| 1.2611        | 8.0   | 181240 | 1.2684          |
+| 1.1754        | 9.0   | 203895 | 1.2461          |
+| 1.1871        | 10.0  | 226550 | 1.2586          |
 
 
 ### Framework versions
 
-- Transformers 4.18.0
-- Pytorch 1.11.0+cu113
-- Datasets 2.1.0
+- Transformers 4.22.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
 - Tokenizers 0.12.1