Model save

README.md

@@ -4,6 +4,8 @@ license: apache-2.0
 base_model: microsoft/beit-base-patch16-224
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: beit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
   results: []
@@ -15,6 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 # beit-base-patch16-224_rice-leaf-disease-augmented-v2_fft
 
 This model is a fine-tuned version of [microsoft/beit-base-patch16-224](https://huggingface.co/microsoft/beit-base-patch16-224) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5324
+- Accuracy: 0.9137
 
 ## Model description
 
@@ -43,6 +48,27 @@ The following hyperparameters were used during training:
 - num_epochs: 15
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6553        | 1.0   | 125  | 0.7916          | 0.7530   |
+| 0.481         | 2.0   | 250  | 0.3628          | 0.8810   |
+| 0.1631        | 3.0   | 375  | 0.2895          | 0.8988   |
+| 0.0609        | 4.0   | 500  | 0.3242          | 0.9167   |
+| 0.0293        | 5.0   | 625  | 0.3503          | 0.9196   |
+| 0.0223        | 6.0   | 750  | 0.3411          | 0.9226   |
+| 0.0302        | 7.0   | 875  | 0.3786          | 0.9226   |
+| 0.014         | 8.0   | 1000 | 0.4169          | 0.9256   |
+| 0.0069        | 9.0   | 1125 | 0.4648          | 0.9137   |
+| 0.006         | 10.0  | 1250 | 0.4697          | 0.9137   |
+| 0.0053        | 11.0  | 1375 | 0.5192          | 0.8958   |
+| 0.0093        | 12.0  | 1500 | 0.5058          | 0.9048   |
+| 0.0069        | 13.0  | 1625 | 0.5486          | 0.9077   |
+| 0.005         | 14.0  | 1750 | 0.5252          | 0.9167   |
+| 0.004         | 15.0  | 1875 | 0.5324          | 0.9137   |
+
+
 ### Framework versions
 
 - Transformers 4.48.3

logs/events.out.tfevents.1740283925.ca6c489f7bbc.211.3

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