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
+metrics:
+- accuracy
+model-index:
+- name: cv-gender-classification-multi-3epoch
+  results: []
+---
+
+<!-- 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. -->
+
+# cv-gender-classification-multi-3epoch
+
+This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1740
+- Accuracy: 0.9258
+
+## 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: 256
+- eval_batch_size: 256
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 0.05
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.3034        | 0.3049 | 50   | 0.2878          | 0.8936   |
+| 0.2311        | 0.6098 | 100  | 0.2003          | 0.9131   |
+| 0.1995        | 0.9146 | 150  | 0.1876          | 0.9258   |
+| 0.1939        | 1.2195 | 200  | 0.1741          | 0.9248   |
+| 0.2005        | 1.5244 | 250  | 0.1783          | 0.9199   |
+| 0.2132        | 1.8293 | 300  | 0.1772          | 0.9170   |
+| 0.1646        | 2.1341 | 350  | 0.1769          | 0.9180   |
+| 0.1673        | 2.4390 | 400  | 0.1725          | 0.9258   |
+| 0.1888        | 2.7439 | 450  | 0.1740          | 0.9258   |
+
+
+### Framework versions
+
+- Transformers 4.57.3
+- Pytorch 2.9.0+cu126
+- Datasets 4.4.2
+- Tokenizers 0.22.1

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