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README.md
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---
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license: apache-2.0
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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-ks
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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-ks
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0123
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- Accuracy: 0.9984
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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 | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| 0.0779 | 1.0 | 80 | 0.1391 | 0.9641 |
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| 0.0244 | 2.0 | 160 | 0.0304 | 0.9953 |
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| 0.0045 | 3.0 | 240 | 0.0290 | 0.9938 |
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| 0.0057 | 4.0 | 320 | 0.0204 | 0.9953 |
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| 0.0025 | 5.0 | 400 | 0.0123 | 0.9984 |
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### Framework versions
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- Transformers 4.11.3
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- Pytorch 1.9.1
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- Datasets 1.18.4
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- Tokenizers 0.10.3
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