update model card README.md

README.md

@@ -2,8 +2,6 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
-metrics:
-- accuracy
 model-index:
 - name: swin-tiny-patch4-window7-224-finetuned-algae-wirs
   results: []
@@ -16,8 +14,13 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0150
-- Accuracy: 0.5880
+- eval_loss: 0.9582
+- eval_accuracy: 0.6227
+- eval_runtime: 10.6179
+- eval_samples_per_second: 160.483
+- eval_steps_per_second: 5.086
+- epoch: 27.8
+- step: 3336
 
 ## Model description
 
@@ -45,16 +48,7 @@ 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
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.1477        | 1.0   | 120  | 1.0955          | 0.5534   |
-| 1.088         | 2.0   | 240  | 1.0434          | 0.5827   |
-| 1.0412        | 3.0   | 360  | 1.0150          | 0.5880   |
-
+- num_epochs: 30
 
 ### Framework versions