End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: mit
-base_model: shi-labs/nat-mini-in1k-224
+base_model: shi-labs/nat-small-in1k-224
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.691120370913786
+      value: 0.6625388813897529
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # msi
 
-This model is a fine-tuned version of [shi-labs/nat-mini-in1k-224](https://huggingface.co/shi-labs/nat-mini-in1k-224) on the imagefolder dataset.
+This model is a fine-tuned version of [shi-labs/nat-small-in1k-224](https://huggingface.co/shi-labs/nat-small-in1k-224) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.4012
-- Accuracy: 0.6911
+- Loss: 1.6797
+- Accuracy: 0.6625
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-05
+- learning_rate: 1e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -61,15 +61,22 @@ The following hyperparameters were used during training:
 - 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 |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.268         | 1.0   | 1858 | 0.9715          | 0.6770   |
-| 0.2098        | 2.0   | 3717 | 1.1308          | 0.7013   |
-| 0.1865        | 3.0   | 5574 | 1.4012          | 0.6911   |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.4035        | 1.0   | 1858  | 0.7665          | 0.6671   |
+| 0.2976        | 2.0   | 3717  | 1.0836          | 0.6372   |
+| 0.2552        | 3.0   | 5575  | 1.1942          | 0.6377   |
+| 0.219         | 4.0   | 7434  | 1.3987          | 0.6419   |
+| 0.1863        | 5.0   | 9292  | 1.5862          | 0.6248   |
+| 0.1946        | 6.0   | 11151 | 1.4975          | 0.6848   |
+| 0.1679        | 7.0   | 13009 | 1.6209          | 0.6518   |
+| 0.1531        | 8.0   | 14868 | 1.6400          | 0.6599   |
+| 0.15          | 9.0   | 16726 | 1.6733          | 0.6702   |
+| 0.1377        | 10.0  | 18580 | 1.6797          | 0.6625   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7f265f7a2303dfd93e9881053d598391f1f952a9f66b92f206058f9b6644fc28
+oid sha256:22dacc0b987105f245ed0fa2606de83f5fe790dce86541f0d19d07fdaf440448
 size 199971764