juniorjukeko/img_class_beans

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - accuracy
 model-index:
-- name: image_classification
+- name: img_class_beans
   results:
   - task:
       name: Image Classification
@@ -22,18 +22,18 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9082125603864735
+      value: 0.9498069498069498
 ---
 
 <!-- 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. -->
 
-# image_classification
+# img_class_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:
-- Loss: 0.4550
-- Accuracy: 0.9082
+- Loss: 0.1818
+- Accuracy: 0.9498
 
 ## Model description
 
@@ -55,26 +55,33 @@ The following hyperparameters were used during training:
 - learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
-- seed: 42
+- seed: 143
 - gradient_accumulation_steps: 4
 - total_train_batch_size: 64
 - 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: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.9956        | 1.0   | 13   | 0.7081          | 0.9082   |
-| 0.6616        | 2.0   | 26   | 0.4506          | 0.9324   |
-| 0.4623        | 3.0   | 39   | 0.4022          | 0.9130   |
+| 1.0147        | 0.98  | 12   | 0.8254          | 0.8494   |
+| 0.7452        | 1.96  | 24   | 0.4785          | 0.9266   |
+| 0.452         | 2.94  | 36   | 0.3032          | 0.9344   |
+| 0.2861        | 4.0   | 49   | 0.2146          | 0.9459   |
+| 0.155         | 4.98  | 61   | 0.1719          | 0.9575   |
+| 0.1318        | 5.96  | 73   | 0.1655          | 0.9730   |
+| 0.1311        | 6.94  | 85   | 0.1550          | 0.9691   |
+| 0.1163        | 8.0   | 98   | 0.1710          | 0.9459   |
+| 0.1006        | 8.98  | 110  | 0.1752          | 0.9459   |
+| 0.1045        | 9.8   | 120  | 0.1472          | 0.9614   |
 
 
 ### Framework versions
 
-- Transformers 4.33.1
+- Transformers 4.33.2
 - Pytorch 2.0.1+cu118
 - Datasets 2.14.5
 - Tokenizers 0.13.3

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:db9b93f7e43fefc0636a5473f88739777a409134e5a440723c25eb2dc1783850
+oid sha256:4e3e5002071f295cdd5cd486caea1e3349ce0125b53cbc7d7f4e5adb62768abe
 size 343271789