End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: microsoft/resnet-50
+base_model: barghavani/Cheese_xray
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.7061855670103093
+      value: 0.8883161512027491
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Cheese_xray
 
-This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the chest-xray-classification dataset.
+This model is a fine-tuned version of [barghavani/Cheese_xray](https://huggingface.co/barghavani/Cheese_xray) on the chest-xray-classification dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4278
-- Accuracy: 0.7062
+- Loss: 0.2827
+- Accuracy: 0.8883
 
 ## Model description
 
@@ -61,15 +61,22 @@ 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
+- num_epochs: 10
 
 ### Training results
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5547        | 0.99  | 63   | 0.5554          | 0.7062   |
-| 0.4303        | 1.99  | 127  | 0.4387          | 0.7079   |
-| 0.4377        | 2.96  | 189  | 0.4278          | 0.7062   |
+| 0.3993        | 0.99  | 63   | 0.4364          | 0.7165   |
+| 0.3454        | 1.99  | 127  | 0.3947          | 0.7680   |
+| 0.3327        | 3.0   | 191  | 0.3582          | 0.8591   |
+| 0.3329        | 4.0   | 255  | 0.3371          | 0.8746   |
+| 0.2992        | 4.99  | 318  | 0.3449          | 0.8643   |
+| 0.3289        | 5.99  | 382  | 0.3172          | 0.8832   |
+| 0.3309        | 7.0   | 446  | 0.2956          | 0.8935   |
+| 0.2875        | 8.0   | 510  | 0.2911          | 0.8883   |
+| 0.2764        | 8.99  | 573  | 0.2884          | 0.9124   |
+| 0.265         | 9.88  | 630  | 0.2827          | 0.8883   |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef88a7110f787fd58178831e7795895e21d68bb414668ba83a6c31ab7e73ba3e
+oid sha256:1918f5d29fab0cd48c66319d6495dac16a5cd45961e3314a7e61a6722bd4a849
 size 94302952