End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7953020134228188
+      value: 0.8154362416107382
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,20 +32,20 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5942
-- Accuracy: 0.7953
+- Loss: 0.6445
+- Accuracy: 0.8154
 
 ## Model description
 
-Predict Expansion Grade - Gardner Score from an embryo image
+More information needed
 
 ## Intended uses & limitations
 
-More information will be provided
+More information needed
 
 ## Training and evaluation data
 
-More information needed will be provided
+More information needed
 
 ## Training procedure
 
@@ -67,16 +67,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.6004        | 0.97  | 14   | 1.4012          | 0.5463   |
-| 1.4099        | 2.0   | 29   | 1.0249          | 0.5463   |
-| 1.1043        | 2.97  | 43   | 0.9695          | 0.6732   |
-| 1.0028        | 4.0   | 58   | 0.8659          | 0.6585   |
-| 0.8915        | 4.97  | 72   | 0.7728          | 0.7317   |
-| 0.8824        | 6.0   | 87   | 0.7238          | 0.7220   |
-| 0.8286        | 6.97  | 101  | 0.7220          | 0.7220   |
-| 0.8274        | 8.0   | 116  | 0.7376          | 0.6976   |
-| 0.7765        | 8.97  | 130  | 0.7117          | 0.7366   |
-| 0.7633        | 9.66  | 140  | 0.7079          | 0.7366   |
+| 1.6002        | 0.97  | 14   | 1.4558          | 0.5024   |
+| 1.4093        | 2.0   | 29   | 1.2320          | 0.5024   |
+| 1.1068        | 2.97  | 43   | 1.0740          | 0.5951   |
+| 0.9988        | 4.0   | 58   | 0.9967          | 0.6049   |
+| 0.9099        | 4.97  | 72   | 0.9248          | 0.6      |
+| 0.8674        | 6.0   | 87   | 0.8766          | 0.6780   |
+| 0.8638        | 6.97  | 101  | 0.8656          | 0.6732   |
+| 0.833         | 8.0   | 116  | 0.8395          | 0.6732   |
+| 0.8211        | 8.97  | 130  | 0.8204          | 0.6927   |
+| 0.8236        | 9.66  | 140  | 0.8204          | 0.6780   |
 
 
 ### Framework versions

all_results.json

@@ -1,12 +1,12 @@
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+    "train_samples_per_second": 20.509,
+    "train_steps_per_second": 0.156
 }

eval_results.json

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 {
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+    "eval_steps_per_second": 0.968
 }

model.safetensors

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runs/Dec27_20-34-04_MacBook-Pro-de-Max-2.local/events.out.tfevents.1703705661.MacBook-Pro-de-Max-2.local.31343.0

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train_results.json

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+    "train_samples_per_second": 20.509,
+    "train_steps_per_second": 0.156
 }

trainer_state.json

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