Update README.md

README.md

@@ -32,18 +32,22 @@ language:
 # vit-base-patch16-224-in21k_Human_Activity_Recognition
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k).
+
 It achieves the following results on the evaluation set:
 - Loss: 0.7403
 - Accuracy: 0.8381
-- Weighted f1: 0.8388
-- Micro f1: 0.8381
-- Macro f1: 0.8394
-- Weighted recall: 0.8381
-- Micro recall: 0.8381
-- Macro recall: 0.8390
-- Weighted precision: 0.8421
-- Micro precision: 0.8381
-- Macro precision: 0.8424
+- F1
+  - Weighted: 0.8388
+  - Micro: 0.8381
+  - Macro: 0.8394
+- Recall
+  - Weighted: 0.8381
+  - Micro: 0.8381
+  - Macro: 0.8390
+- Precision
+  - Weighted: 0.8421
+  - Micro: 0.8381
+  - Macro: 0.8424
 
 ## Model description
 
@@ -78,7 +82,7 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted f1 | Micro f1 | Macro f1 | Weighted recall | Micro recall | Macro recall | Weighted precision | Micro precision | Macro precision |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Weighted F1 | Micro F1 | Macro F1 | Weighted Recall | Micro Recall | Macro Recall | Weighted Precision | Micro Precision | Macro Precision |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:--------:|:--------:|:---------------:|:------------:|:------------:|:------------------:|:---------------:|:---------------:|
 | 1.0814        | 1.0   | 630  | 0.7368          | 0.7794   | 0.7795      | 0.7794   | 0.7798   | 0.7794          | 0.7794       | 0.7797       | 0.7896             | 0.7794          | 0.7896          |
 | 0.5149        | 2.0   | 1260 | 0.6439          | 0.8060   | 0.8049      | 0.8060   | 0.8036   | 0.8060          | 0.8060       | 0.8051       | 0.8136             | 0.8060          | 0.8130          |