End of training

README.md

@@ -0,0 +1,89 @@
+---
+license: apache-2.0
+base_model: google/vit-base-patch16-224-in21k
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: urinary_carcinoma_classifier_g004
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train[:90]
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.7777777777777778
+---
+
+<!-- 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. -->
+
+# urinary_carcinoma_classifier_g004
+
+This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5556
+- Accuracy: 0.7778
+
+## 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: 15
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.8   | 1    | 0.6989          | 0.6111   |
+| No log        | 1.6   | 2    | 0.6758          | 0.6111   |
+| No log        | 2.4   | 3    | 0.6409          | 0.6667   |
+| No log        | 4.0   | 5    | 0.6102          | 0.7222   |
+| No log        | 4.8   | 6    | 0.6065          | 0.7778   |
+| No log        | 5.6   | 7    | 0.6030          | 0.7778   |
+| No log        | 6.4   | 8    | 0.6254          | 0.5556   |
+| 0.6126        | 8.0   | 10   | 0.5948          | 0.7222   |
+| 0.6126        | 8.8   | 11   | 0.5967          | 0.6667   |
+| 0.6126        | 9.6   | 12   | 0.5784          | 0.7778   |
+| 0.6126        | 10.4  | 13   | 0.5751          | 0.6667   |
+| 0.6126        | 12.0  | 15   | 0.5556          | 0.7778   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1
+- Datasets 2.20.0
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ef13e6ab5f76d5fe3e0a356b37652023635389fd2a8474278330c4c532e81eab
+oid sha256:e5579bc3cbaabe0fc6adee9fa869664d66e8ab0ce106f0dbcaaceb97e3b8d630
 size 343223968