End of training

README.md

@@ -0,0 +1,95 @@
+---
+license: apache-2.0
+base_model: facebook/deit-tiny-patch16-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: hushem_conflu_deneme_fold3
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: test
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.627906976744186
+---
+
+<!-- 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. -->
+
+# hushem_conflu_deneme_fold3
+
+This model is a fine-tuned version of [facebook/deit-tiny-patch16-224](https://huggingface.co/facebook/deit-tiny-patch16-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.9617
+- Accuracy: 0.6279
+
+## 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: 0.001
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 6    | 1.6871          | 0.2558   |
+| 1.9835        | 2.0   | 12   | 1.3632          | 0.2326   |
+| 1.9835        | 3.0   | 18   | 1.4109          | 0.3256   |
+| 1.294         | 4.0   | 24   | 1.3794          | 0.4186   |
+| 1.2341        | 5.0   | 30   | 1.2119          | 0.4651   |
+| 1.2341        | 6.0   | 36   | 1.4964          | 0.4419   |
+| 1.0897        | 7.0   | 42   | 1.2398          | 0.4651   |
+| 1.0897        | 8.0   | 48   | 1.0532          | 0.5349   |
+| 0.9835        | 9.0   | 54   | 1.1022          | 0.5116   |
+| 0.9034        | 10.0  | 60   | 0.9784          | 0.6279   |
+| 0.9034        | 11.0  | 66   | 1.5952          | 0.5116   |
+| 0.8061        | 12.0  | 72   | 0.9828          | 0.5581   |
+| 0.8061        | 13.0  | 78   | 0.9199          | 0.7209   |
+| 0.765         | 14.0  | 84   | 1.0672          | 0.5581   |
+| 0.6513        | 15.0  | 90   | 1.0129          | 0.6744   |
+| 0.6513        | 16.0  | 96   | 0.9247          | 0.6977   |
+| 0.4919        | 17.0  | 102  | 0.9617          | 0.6279   |
+| 0.4919        | 18.0  | 108  | 0.9617          | 0.6279   |
+| 0.4742        | 19.0  | 114  | 0.9617          | 0.6279   |
+| 0.4695        | 20.0  | 120  | 0.9617          | 0.6279   |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

model.safetensors

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