End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: facebook/wav2vec2-base
+tags:
+- generated_from_trainer
+datasets:
+- common_voice_17_0
+metrics:
+- accuracy
+model-index:
+- name: wav2vec2_turkish_gender_classification
+  results:
+  - task:
+      name: Audio Classification
+      type: audio-classification
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: tr
+      split: test
+      args: tr
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8478508073686605
+---
+
+<!-- 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. -->
+
+# wav2vec2_turkish_gender_classification
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the common_voice_17_0 dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7567
+- Accuracy: 0.8479
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- gradient_accumulation_steps: 4
+- total_train_batch_size: 128
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.1723        | 0.9968 | 233  | 0.5006          | 0.8003   |
+| 0.0967        | 1.9979 | 467  | 0.3800          | 0.8722   |
+| 0.0696        | 2.9989 | 701  | 0.5256          | 0.8449   |
+| 0.0451        | 4.0    | 935  | 0.5080          | 0.8879   |
+| 0.0647        | 4.9968 | 1168 | 0.5977          | 0.8551   |
+| 0.0322        | 5.9979 | 1402 | 0.7294          | 0.8463   |
+| 0.0249        | 6.9989 | 1636 | 1.0826          | 0.7830   |
+| 0.0189        | 8.0    | 1870 | 0.6995          | 0.8485   |
+| 0.0276        | 8.9968 | 2103 | 0.8064          | 0.8360   |
+| 0.0167        | 9.9679 | 2330 | 0.7567          | 0.8479   |
+
+
+### Framework versions
+
+- Transformers 4.44.2
+- Pytorch 2.4.0+cu121
+- Datasets 3.0.0
+- Tokenizers 0.19.1

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