update model card README.md

README.md

@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # bert-base-finetuned-ynat
 
-This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on the None dataset.
+This model is a fine-tuned version of [klue/bert-base](https://huggingface.co/klue/bert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5973
-- F1: 0.0727
+- Loss: 1.6806
+- F1: 0.2273
 
 ## Model description
 
@@ -49,16 +49,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| No log        | 1.0   | 1    | 1.5973          | 0.0727 |
-| No log        | 2.0   | 2    | 1.5919          | 0.0667 |
-| No log        | 3.0   | 3    | 1.5840          | 0.0667 |
-| No log        | 4.0   | 4    | 1.5747          | 0.0667 |
-| No log        | 5.0   | 5    | 1.5678          | 0.0667 |
+| No log        | 1.0   | 2    | 1.8609          | 0.0476 |
+| No log        | 2.0   | 4    | 1.7637          | 0.0476 |
+| No log        | 3.0   | 6    | 1.6806          | 0.2273 |
+| No log        | 4.0   | 8    | 1.6409          | 0.2273 |
+| No log        | 5.0   | 10   | 1.6236          | 0.2273 |
 
 
 ### Framework versions
 
 - Transformers 4.31.0
 - Pytorch 2.0.1+cu118
-- Datasets 2.13.1
+- Datasets 2.14.0
 - Tokenizers 0.13.3