ham-vit-skin-lesion-model-2

README.md

@@ -1,8 +1,11 @@
 ---
+library_name: transformers
 license: apache-2.0
-base_model: t5-small
+base_model: google/vit-base-patch16-224-in21k
 tags:
 - generated_from_trainer
+metrics:
+- accuracy
 model-index:
 - name: results
   results: []
@@ -13,9 +16,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # results
 
-This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
+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: 2.8240
+- Loss: 1.4268
+- Accuracy: 0.6397
 
 ## Model description
 
@@ -36,24 +40,25 @@ More information needed
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
 - train_batch_size: 16
-- eval_batch_size: 16
+- eval_batch_size: 8
 - seed: 42
-- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 500
 - num_epochs: 3
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss |
-|:-------------:|:-----:|:----:|:---------------:|
-| No log        | 1.0   | 313  | 2.8942          |
-| 3.2737        | 2.0   | 626  | 2.8346          |
-| 3.2737        | 3.0   | 939  | 2.8240          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.6205        | 1.0   | 3095 | 1.6163          | 0.6932   |
+| 1.449         | 2.0   | 6190 | 1.4643          | 0.7016   |
+| 1.4321        | 3.0   | 9285 | 1.4268          | 0.6397   |
 
 
 ### Framework versions
 
-- Transformers 4.39.3
-- Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

model.safetensors

@@ -1,3 +1,3 @@
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+size 343247504

preprocessor_config.json

@@ -0,0 +1,23 @@
+{
+  "do_convert_rgb": null,
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

training_args.bin

@@ -1,3 +1,3 @@
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+oid sha256:ba6792a1db163359ee36bdbc912d940cda64986d4fe80e9baf3a7136bbaa93e1
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