Model save

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: facebook/convnextv2-nano-22k-384
+base_model: facebook/convnextv2-tiny-22k-384
 tags:
 - generated_from_trainer
 metrics:
@@ -15,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # test-augment
 
-This model is a fine-tuned version of [facebook/convnextv2-nano-22k-384](https://huggingface.co/facebook/convnextv2-nano-22k-384) on an unknown dataset.
+This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.8620
-- Accuracy: 0.775
+- Loss: 0.9399
+- Accuracy: 0.75
 
 ## Model description
 
@@ -37,9 +37,9 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 0.0001
-- train_batch_size: 64
-- eval_batch_size: 64
+- learning_rate: 3e-05
+- train_batch_size: 16
+- eval_batch_size: 16
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: cosine
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 10   | 1.1256          | 0.6375   |
-| No log        | 2.0   | 20   | 0.9655          | 0.7125   |
+| No log        | 1.0   | 40   | 1.1080          | 0.675    |
+| No log        | 2.0   | 80   | 0.9399          | 0.75     |
 
 
 ### Framework versions