update model card README.md

README.md

@@ -19,7 +19,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [facebook/convnextv2-base-22k-384](https://huggingface.co/facebook/convnextv2-base-22k-384) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1532
+- Loss: 0.3257
 - Accuracy: 0.9611
 - F1: 0.9510
 - Precision: 0.9714
@@ -43,7 +43,7 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 0.00015
-- train_batch_size: 2
+- train_batch_size: 32
 - eval_batch_size: 32
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
@@ -55,9 +55,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|
-| 0.1703        | 1.0   | 25   | 0.1399          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
-| 0.0829        | 2.0   | 50   | 0.1470          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
-| 0.0458        | 3.0   | 75   | 0.1532          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
+| No log        | 1.0   | 2    | 0.5986          | 0.8167   | 0.8092 | 0.7       | 0.9589 |
+| No log        | 2.0   | 4    | 0.3945          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
+| No log        | 3.0   | 6    | 0.3257          | 0.9611   | 0.9510 | 0.9714    | 0.9315 |
 
 
 ### Framework versions