Training in progress epoch 1

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 2.6504
-- Train Accuracy: 0.2057
-- Train Top-3-accuracy: 0.3591
-- Validation Loss: 2.2693
-- Validation Accuracy: 0.3299
-- Validation Top-3-accuracy: 0.5069
-- Epoch: 0
+- Train Loss: 1.8871
+- Train Accuracy: 0.4062
+- Train Top-3-accuracy: 0.6494
+- Validation Loss: 1.6561
+- Validation Accuracy: 0.4618
+- Validation Top-3-accuracy: 0.7083
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train Accuracy | Train Top-3-accuracy | Validation Loss | Validation Accuracy | Validation Top-3-accuracy | Epoch |
 |:----------:|:--------------:|:--------------------:|:---------------:|:-------------------:|:-------------------------:|:-----:|
 | 2.6504     | 0.2057         | 0.3591               | 2.2693          | 0.3299              | 0.5069                    | 0     |
+| 1.8871     | 0.4062         | 0.6494               | 1.6561          | 0.4618              | 0.7083                    | 1     |
 
 
 ### Framework versions

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