update model card README.md

README.md

@@ -2,26 +2,11 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-datasets:
-- imagefolder
 metrics:
-- accuracy
+- f1
 model-index:
 - name: vit-base-patch16-224
-  results:
-  - task:
-      name: Image Classification
-      type: image-classification
-    dataset:
-      name: imagefolder
-      type: imagefolder
-      config: default
-      split: train
-      args: default
-    metrics:
-    - name: Accuracy
-      type: accuracy
-      value: 0.5555555555555556
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +14,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vit-base-patch16-224
 
-This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on the imagefolder dataset.
+This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.1091
-- Accuracy: 0.5556
+- Loss: 0.6731
+- F1: 0.0
 
 ## Model description
 
@@ -51,7 +36,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 0.001
 - train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
@@ -60,20 +45,18 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
+- num_epochs: 1
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 0.67  | 1    | 1.2633          | 0.5      |
-| No log        | 1.67  | 2    | 1.1265          | 0.5      |
-| No log        | 2.67  | 3    | 1.1091          | 0.5556   |
+| Training Loss | Epoch | Step | Validation Loss | F1  |
+|:-------------:|:-----:|:----:|:---------------:|:---:|
+| 0.7894        | 0.98  | 27   | 0.6731          | 0.0 |
 
 
 ### Framework versions
 
-- Transformers 4.23.1
-- Pytorch 1.12.1+cu113
-- Datasets 2.6.1
-- Tokenizers 0.13.1
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.7.1
+- Tokenizers 0.13.2