Model save

README.md

@@ -1,14 +1,28 @@
 ---
 license: apache-2.0
-base_model: facebook/convnextv2-base-22k-384
+base_model: facebook/convnextv2-tiny-22k-384
 tags:
-- image-classification
 - generated_from_trainer
 datasets:
 - imagefolder
+metrics:
+- accuracy
 model-index:
 - name: ConvnextV2-base
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: validation
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9192460317460317
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,7 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ConvnextV2-base
 
-This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on the vuongnhathien/30VNFoods dataset.
+This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4650
+- Accuracy: 0.9192
 
 ## Model description
 
@@ -37,12 +54,28 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 0.0003
 - train_batch_size: 32
-- eval_batch_size: 8
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - num_epochs: 10
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5453        | 1.0   | 550  | 0.5385          | 0.8465   |
+| 0.3201        | 2.0   | 1100 | 0.5494          | 0.8465   |
+| 0.1818        | 3.0   | 1650 | 0.4973          | 0.8732   |
+| 0.0974        | 4.0   | 2200 | 0.5644          | 0.8652   |
+| 0.059         | 5.0   | 2750 | 0.5624          | 0.8891   |
+| 0.0371        | 6.0   | 3300 | 0.6428          | 0.8755   |
+| 0.0118        | 7.0   | 3850 | 0.5426          | 0.9026   |
+| 0.0169        | 8.0   | 4400 | 0.4927          | 0.9161   |
+| 0.0103        | 9.0   | 4950 | 0.5011          | 0.9105   |
+| 0.0017        | 10.0  | 5500 | 0.4820          | 0.9165   |
+
+
 ### Framework versions
 
 - Transformers 4.39.3

runs/May21_07-05-08_4c3fb2c5458c/events.out.tfevents.1716286429.4c3fb2c5458c.25.1

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