End of training

README.md

@@ -1,6 +1,7 @@
 ---
 library_name: transformers
-base_model: MoGHenry/cat_dog_classifier_with_small_datasest
+license: apache-2.0
+base_model: microsoft/resnet-50
 tags:
 - generated_from_trainer
 datasets:
@@ -22,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.9571428571428572
+      value: 0.8714285714285714
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -30,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # cat_dog_classifier_with_small_datasest
 
-This model is a fine-tuned version of [MoGHenry/cat_dog_classifier_with_small_datasest](https://huggingface.co/MoGHenry/cat_dog_classifier_with_small_datasest) 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: 0.1495
-- Accuracy: 0.9571
+- Loss: 0.3807
+- Accuracy: 0.8714
 
 ## Model description
 
@@ -52,8 +53,8 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 1e-05
-- train_batch_size: 32
+- learning_rate: 4e-05
+- train_batch_size: 4
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
@@ -65,16 +66,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 18   | 0.1574          | 0.9571   |
-| No log        | 2.0   | 36   | 0.1638          | 0.9429   |
-| No log        | 3.0   | 54   | 0.1581          | 0.9429   |
-| No log        | 4.0   | 72   | 0.1470          | 0.9571   |
-| No log        | 5.0   | 90   | 0.1424          | 0.9571   |
-| No log        | 6.0   | 108  | 0.1389          | 0.9643   |
-| No log        | 7.0   | 126  | 0.1632          | 0.9429   |
-| No log        | 8.0   | 144  | 0.1510          | 0.95     |
-| No log        | 9.0   | 162  | 0.1474          | 0.95     |
-| No log        | 10.0  | 180  | 0.1430          | 0.9571   |
+| No log        | 1.0   | 140  | 0.6967          | 0.4929   |
+| No log        | 2.0   | 280  | 0.6870          | 0.5357   |
+| No log        | 3.0   | 420  | 0.6729          | 0.6214   |
+| 0.6818        | 4.0   | 560  | 0.6306          | 0.7429   |
+| 0.6818        | 5.0   | 700  | 0.5554          | 0.8714   |
+| 0.6818        | 6.0   | 840  | 0.4894          | 0.8429   |
+| 0.6818        | 7.0   | 980  | 0.4511          | 0.8286   |
+| 0.5676        | 8.0   | 1120 | 0.4113          | 0.8643   |
+| 0.5676        | 9.0   | 1260 | 0.4318          | 0.8643   |
+| 0.5676        | 10.0  | 1400 | 0.3807          | 0.8714   |
 
 
 ### Framework versions

config.json

@@ -1,5 +1,5 @@
 {
-  "_name_or_path": "MoGHenry/cat_dog_classifier_with_small_datasest",
+  "_name_or_path": "microsoft/resnet-50",
   "architectures": [
     "ResNetForImageClassification"
   ],

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:0f5be6da4d99047a2e156c46feb110200662ab8e67fc00ae3c356b319052adfb
 size 94302952

training_args.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:b3b105c9791529d7d3bc99849398c4e0806d64bc2799d8b33b2d2bcd061fe01c
 size 5368