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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: facebook/wav2vec2-base
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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-voxceleb1
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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-voxceleb1
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0316
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- Accuracy: 0.8311
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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: 2e-05
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- train_batch_size: 16
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- eval_batch_size: 1
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- seed: 1016
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 10.0
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- mixed_precision_training: Native AMP
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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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| 5.7408 | 1.0 | 8648 | 6.0003 | 0.0198 |
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| 3.0546 | 2.0 | 17296 | 3.9534 | 0.2351 |
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| 1.3947 | 3.0 | 25944 | 2.4203 | 0.4975 |
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| 0.5969 | 4.0 | 34592 | 1.5746 | 0.6645 |
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| 0.2713 | 5.0 | 43240 | 1.3448 | 0.7310 |
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| 0.1379 | 6.0 | 51888 | 1.2183 | 0.7664 |
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| 0.0555 | 7.0 | 60536 | 1.1041 | 0.7956 |
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| 0.0268 | 8.0 | 69184 | 1.0941 | 0.8104 |
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| 0.0122 | 9.0 | 77832 | 1.0580 | 0.8256 |
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| 0.0053 | 10.0 | 86480 | 1.0316 | 0.8311 |
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### Framework versions
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- Transformers 4.46.2
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- Pytorch 2.0.0+cu117
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- Datasets 3.1.0
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- Tokenizers 0.20.3
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