End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: microsoft/swin-tiny-patch4-window7-224
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: gender_mozilla_mel_spec_Vit_swin-tiny-patch4-window7-224_1
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.9533333333333334
+---
+
+<!-- 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. -->
+
+# gender_mozilla_mel_spec_Vit_swin-tiny-patch4-window7-224_1
+
+This model is a fine-tuned version of [microsoft/swin-tiny-patch4-window7-224](https://huggingface.co/microsoft/swin-tiny-patch4-window7-224) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1463
+- Accuracy: 0.9533
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Use 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_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6887        | 1.0   | 11   | 0.5200          | 0.8367   |
+| 0.3893        | 2.0   | 22   | 0.2368          | 0.92     |
+| 0.2526        | 3.0   | 33   | 0.1906          | 0.94     |
+| 0.1812        | 4.0   | 44   | 0.1990          | 0.93     |
+| 0.158         | 5.0   | 55   | 0.2096          | 0.92     |
+| 0.1333        | 6.0   | 66   | 0.1821          | 0.9333   |
+| 0.1249        | 7.0   | 77   | 0.1546          | 0.95     |
+| 0.0678        | 8.0   | 88   | 0.1535          | 0.9567   |
+| 0.0524        | 9.0   | 99   | 0.1599          | 0.9433   |
+| 0.0359        | 10.0  | 110  | 0.1463          | 0.9533   |
+
+
+### Framework versions
+
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.1
+- Tokenizers 0.21.0

model.safetensors

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