update model card README.md

README.md

@@ -1,5 +1,6 @@
 ---
 license: apache-2.0
+base_model: google/vit-base-patch16-224
 tags:
 - generated_from_trainer
 metrics:
@@ -16,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 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: 1.7625
-- Accuracy: 0.1429
+- Loss: 0.7660
+- Accuracy: 0.8
 
 ## Model description
 
@@ -37,11 +38,11 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 192
-- eval_batch_size: 192
+- train_batch_size: 150
+- eval_batch_size: 150
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 768
+- total_train_batch_size: 600
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
@@ -51,14 +52,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 1.7625          | 0.1429   |
-| No log        | 2.0   | 2    | 1.7625          | 0.1429   |
-| No log        | 3.0   | 3    | 1.7625          | 0.1429   |
+| No log        | 1.0   | 1    | 1.4774          | 0.4571   |
+| No log        | 2.0   | 2    | 0.9276          | 0.7429   |
+| No log        | 3.0   | 3    | 0.7660          | 0.8      |
 
 
 ### Framework versions
 
-- Transformers 4.30.2
+- Transformers 4.31.0
 - Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3