End of training

README.md

@@ -5,9 +5,24 @@ tags:
 - generated_from_trainer
 datasets:
 - cats_vs_dogs
+metrics:
+- accuracy
 model-index:
 - name: cat_or_dogs
-  results: []
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: cats_vs_dogs
+      type: cats_vs_dogs
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9820589491670226
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -16,6 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
 # cat_or_dogs
 
 This model is a fine-tuned version of [akahana/vit-base-cats-vs-dogs](https://huggingface.co/akahana/vit-base-cats-vs-dogs) on the cats_vs_dogs dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0561
+- Accuracy: 0.9821
 
 ## Model description
 
@@ -43,6 +61,15 @@ The following hyperparameters were used during training:
 - num_epochs: 3
 - mixed_precision_training: Native AMP
 
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.0389        | 1.0   | 1171 | 0.0638          | 0.9793   |
+| 0.0682        | 2.0   | 2342 | 0.0510          | 0.9812   |
+| 0.0623        | 3.0   | 3513 | 0.0561          | 0.9821   |
+
+
 ### Framework versions
 
 - Transformers 4.37.2

model.safetensors

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 size 343223968

runs/Feb24_10-11-37_73a7ae1ecc27/events.out.tfevents.1708769498.73a7ae1ecc27.220.3

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