End of training

README.md

@@ -1,6 +1,6 @@
 ---
 license: apache-2.0
-base_model: google/vit-base-patch16-224-in21k
+base_model: microsoft/resnet-50
 tags:
 - generated_from_trainer
 datasets:
@@ -17,12 +17,12 @@ model-index:
       name: imagefolder
       type: imagefolder
       config: default
-      split: train[:39]
+      split: train[:18]
       args: default
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.625
+      value: 0.5
 ---
 
 <!-- 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. -->
 
 # urinary_carcinoma_classifier
 
-This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+This model is a fine-tuned version of [microsoft/resnet-50](https://huggingface.co/microsoft/resnet-50) on the imagefolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6830
-- Accuracy: 0.625
+- Loss: 145167345715929860710353977110167552.0000
+- Accuracy: 0.5
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 5e-06
+- learning_rate: 5e-05
 - train_batch_size: 16
 - eval_batch_size: 16
 - seed: 42
@@ -61,17 +61,15 @@ 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: 5
+- num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | Accuracy |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 1    | 0.7019          | 0.5      |
-| No log        | 2.0   | 2    | 0.6880          | 0.625    |
-| No log        | 3.0   | 3    | 0.6830          | 0.625    |
-| No log        | 4.0   | 4    | 0.6885          | 0.5      |
-| No log        | 5.0   | 5    | 0.6830          | 0.625    |
+| Training Loss | Epoch | Step | Validation Loss                           | Accuracy |
+|:-------------:|:-----:|:----:|:-----------------------------------------:|:--------:|
+| No log        | 1.0   | 1    | 171619846545786152085242447388475392.0000 | 0.5      |
+| No log        | 2.0   | 2    | 216416222105935722637923733961965568.0000 | 0.75     |
+| No log        | 3.0   | 3    | 145167345715929860710353977110167552.0000 | 0.5      |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9aec7709540f4e6f18336d49d202a7bec274d3cc1f21c0e16d72d4c69c9140bd
+oid sha256:2cd361eee24e9dc127ad41791327d72b3d0cf1294a43d93683bcdce774960ce1
 size 94302952