Model save

README.md

@@ -6,6 +6,8 @@ datasets:
 - imagefolder
 metrics:
 - accuracy
+- precision
+- recall
 model-index:
 - name: swiftformer-xs
   results:
@@ -21,7 +23,13 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6533333333333333
+      value: 0.73
+    - name: Precision
+      type: precision
+      value: 0.5329
+    - name: Recall
+      type: recall
+      value: 0.73
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,8 +39,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MBZUAI/swiftformer-xs](https://huggingface.co/MBZUAI/swiftformer-xs) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6505
-- Accuracy: 0.6533
+- Loss: 0.5838
+- Accuracy: 0.73
+- Precision: 0.5329
+- Recall: 0.73
+- F1 Score: 0.6161
 
 ## Model description
 
@@ -52,23 +63,35 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 5e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 64
+- eval_batch_size: 64
 - seed: 42
 - gradient_accumulation_steps: 4
-- total_train_batch_size: 128
+- total_train_batch_size: 256
 - 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: 15
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 8    | 0.6642          | 0.6208   |
-| 0.6913        | 2.0   | 16   | 0.6431          | 0.6958   |
-| 0.6806        | 3.0   | 24   | 0.6337          | 0.6875   |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 Score |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:--------:|
+| No log        | 1.0   | 4    | 0.6209          | 0.7292   | 0.6273    | 0.7292 | 0.6259   |
+| No log        | 2.0   | 8    | 0.7514          | 0.3875   | 0.5947    | 0.3875 | 0.3910   |
+| No log        | 3.0   | 12   | 0.7574          | 0.3292   | 0.6284    | 0.3292 | 0.2679   |
+| 0.6558        | 4.0   | 16   | 0.7080          | 0.5042   | 0.6591    | 0.5042 | 0.5279   |
+| 0.6558        | 5.0   | 20   | 0.6566          | 0.6458   | 0.6859    | 0.6458 | 0.6604   |
+| 0.6558        | 6.0   | 24   | 0.6509          | 0.65     | 0.6810    | 0.65   | 0.6621   |
+| 0.6558        | 7.0   | 28   | 0.6438          | 0.6375   | 0.6639    | 0.6375 | 0.6484   |
+| 0.5697        | 8.0   | 32   | 0.6455          | 0.65     | 0.6845    | 0.65   | 0.6631   |
+| 0.5697        | 9.0   | 36   | 0.6480          | 0.6458   | 0.6823    | 0.6458 | 0.6596   |
+| 0.5697        | 10.0  | 40   | 0.6438          | 0.6542   | 0.6867    | 0.6542 | 0.6667   |
+| 0.5697        | 11.0  | 44   | 0.6366          | 0.6583   | 0.6924    | 0.6583 | 0.6711   |
+| 0.5232        | 12.0  | 48   | 0.6391          | 0.6625   | 0.7016    | 0.6625 | 0.6764   |
+| 0.5232        | 13.0  | 52   | 0.6386          | 0.6583   | 0.6924    | 0.6583 | 0.6711   |
+| 0.5232        | 14.0  | 56   | 0.6403          | 0.6667   | 0.7038    | 0.6667 | 0.68     |
+| 0.5068        | 15.0  | 60   | 0.6459          | 0.6708   | 0.7131    | 0.6708 | 0.6851   |
 
 
 ### Framework versions

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:22c7f8721a1674449ea81e371850f8194f5e8ac11adc6b062dadbd2c600b1812
+oid sha256:9412068a24357350d2d5252db1a1abdabee5f17395cd1bd8ac05d09aa0e91d08
 size 12267645