update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: blurred_faces
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: faces_resnet
+      split: validation
+      args: faces_resnet
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9964317573595004
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# blurred_faces
+
+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: 0.0414
+- Accuracy: 0.9964
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 5e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 32
+- 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
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.514         | 1.0   | 144  | 0.4884          | 0.9358   |
+| 0.242         | 2.0   | 288  | 0.1377          | 0.9893   |
+| 0.1592        | 2.99  | 432  | 0.0736          | 0.9902   |
+| 0.0956        | 4.0   | 577  | 0.0488          | 0.9955   |
+| 0.1734        | 4.99  | 720  | 0.0414          | 0.9964   |
+
+
+### Framework versions
+
+- Transformers 4.30.0.dev0
+- Pytorch 1.13.0
+- Datasets 2.10.1
+- Tokenizers 0.11.0