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---
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license: apache-2.0
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base_model: motheecreator/wav2vec2-base-finetuned
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tags:
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- generated_from_trainer
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metrics:
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- accuracy
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model-index:
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- name: wav2vec2-base-finetuned-finetuned
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# wav2vec2-base-finetuned-finetuned
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This model is a fine-tuned version of [motheecreator/wav2vec2-base-finetuned](https://huggingface.co/motheecreator/wav2vec2-base-finetuned) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0829
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- Accuracy: 0.9882
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 3e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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- seed: 42
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- gradient_accumulation_steps: 4
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- total_train_batch_size: 32
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 5
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### Training results
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| Training Loss | Epoch | Step | Accuracy | Validation Loss |
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|:-------------:|:-----:|:----:|:--------:|:---------------:|
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| 0.1448 | 1.0 | 1900 | 0.9601 | 0.1447 |
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| 0.0673 | 2.0 | 3800 | 0.9824 | 0.0817 |
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| 0.0178 | 3.0 | 5700 | 0.9796 | 0.1054 |
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| 0.0002 | 4.0 | 7600 | 0.9824 | 0.1074 |
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| 0.0108 | 5.0 | 9500 | 0.9882 | 0.0829 |
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### Framework versions
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- Transformers 4.39.3
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- Pytorch 2.1.2
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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### Contributors
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- Abdalla312
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- motheecreator |
