update model card README.md

README.md

@@ -1,27 +1,38 @@
 ---
 license: apache-2.0
 tags:
-- image-classification
-- tensorflow
-- vision
-- generated_from_keras_callback
+- generated_from_trainer
+datasets:
+- beans
+metrics:
+- accuracy
 model-index:
-- name: amyeroberts/vit-base-beans
-  results: []
+- name: vit-base-beans
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: beans
+      type: beans
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9849624060150376
 ---
 
-<!-- This model card has been generated automatically according to the information Keras had access to. You should
-probably proofread and complete it, then remove this comment. -->
+<!-- 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. -->
 
-# amyeroberts/vit-base-beans
+# vit-base-beans
 
 This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the beans dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.1538
-- Train Accuracy: 0.9774
-- Validation Loss: 0.1126
-- Validation Accuracy: 0.9774
-- Epoch: 2
+- Loss: 0.0630
+- Accuracy: 0.9850
 
 ## Model description
 
@@ -40,21 +51,28 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- optimizer: {'name': 'Adam', 'global_clipnorm': 1.0, 'learning_rate': {'class_name': 'PolynomialDecay', 'config': {'initial_learning_rate': 2e-05, 'decay_steps': 5170, 'end_learning_rate': 0.0, 'power': 1.0, 'cycle': False, 'name': None}}, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-08, 'amsgrad': False}
-- training_precision: float32
+- learning_rate: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 1337
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5.0
 
 ### Training results
 
-| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
-|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
-| 0.6342     | 0.9925         | 0.2390          | 0.9925              | 0     |
-| 0.2234     | 0.9774         | 0.1293          | 0.9774              | 1     |
-| 0.1538     | 0.9774         | 0.1126          | 0.9774              | 2     |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3038        | 1.0   | 130  | 0.2396          | 0.9624   |
+| 0.1609        | 2.0   | 260  | 0.1130          | 0.9774   |
+| 0.2313        | 3.0   | 390  | 0.0809          | 0.9850   |
+| 0.1436        | 4.0   | 520  | 0.0738          | 0.9850   |
+| 0.1086        | 5.0   | 650  | 0.0630          | 0.9850   |
 
 
 ### Framework versions
 
-- Transformers 4.24.0.dev0
-- TensorFlow 2.10.0
-- Datasets 2.6.2.dev0
-- Tokenizers 0.12.1
+- Transformers 4.27.0.dev0
+- Pytorch 1.14.0.dev20221118
+- Datasets 2.9.1.dev0
+- Tokenizers 0.13.2