Model save

README.md

@@ -0,0 +1,73 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: bone-fracture-detection-using-x-rays
+  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. -->
+
+# bone-fracture-detection-using-x-rays
+
+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: 0.0458
+- Accuracy: 0.9769
+
+## 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: 16
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.5407        | 1.0   | 111  | 0.2512          | 0.9143   |
+| 0.1819        | 2.0   | 222  | 0.1203          | 0.9526   |
+| 0.1351        | 3.0   | 333  | 0.1183          | 0.9521   |
+| 0.101         | 4.0   | 444  | 0.0905          | 0.9616   |
+| 0.0705        | 5.0   | 555  | 0.0958          | 0.9628   |
+| 0.0658        | 6.0   | 666  | 0.0671          | 0.9729   |
+| 0.0584        | 7.0   | 777  | 0.0498          | 0.9803   |
+| 0.0507        | 8.0   | 888  | 0.0633          | 0.9735   |
+| 0.0508        | 9.0   | 999  | 0.0640          | 0.9797   |
+| 0.0432        | 10.0  | 1110 | 0.0458          | 0.9769   |
+
+
+### 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 sha256:68c3e29a7d35389552d5ad1990a33864080eef4f6b6d4e4feca3f0766415e686
+oid sha256:46bef486b2421ffe8b54aabfd6722fc3eb3f2f8e1ad855b0f198c74cc90ad498
 size 343223968

runs/Mar11_03-15-40_60131cd356d8/events.out.tfevents.1710126941.60131cd356d8.34.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:7dd0df904ad166b573c2665d60bf8ba2a4fe0c02a103fc9df7f3c2fbd447116f
-size 9967
+oid sha256:c555b45bb19b390f559d88114c7058d5b19263b265287e9e8da6364c0d5fbb7d
+size 10321