Model save

README.md

@@ -0,0 +1,64 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Face-Mask-Detection
+  results: []
+---
+
+<!-- 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. -->
+
+# Face-Mask-Detection
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0239
+- Accuracy: 0.9953
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 64
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.1218        | 1.0   | 147  | 0.0251          | 0.9953   |
+| 0.0186        | 1.99  | 294  | 0.0239          | 0.9953   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a32209b28ffd13f2b164a2dcb3da31cef4840e9e853a1f79c674019fc1e31157
+oid sha256:7a510e680a4eb25edb8a965dd647be8c82fee6605bc929571e2a57f18516a21e
 size 343223968

runs/Mar10_10-17-25_9bca314f0bb9/events.out.tfevents.1710065846.9bca314f0bb9.34.1

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e96159da9b04b7b19667ba10ea80ea7b580648b32810bc97e6d2c96ace317ce
-size 5648
+oid sha256:817964765b23a1dd2f0a27a73dc6cbe8ca6fbd45b5f8ca2774906d68c7336ff3
+size 6002