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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- common_language |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-lang-id |
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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-lang-id |
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This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the anton-l/common_language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.9836 |
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- Accuracy: 0.7945 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 4 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 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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| 2.9568 | 1.0 | 173 | 3.2866 | 0.1146 | |
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| 1.9243 | 2.0 | 346 | 2.1241 | 0.3840 | |
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| 1.2923 | 3.0 | 519 | 1.5498 | 0.5489 | |
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| 0.8659 | 4.0 | 692 | 1.4953 | 0.6126 | |
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| 0.5539 | 5.0 | 865 | 1.2431 | 0.6926 | |
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| 0.4101 | 6.0 | 1038 | 1.1443 | 0.7232 | |
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| 0.2945 | 7.0 | 1211 | 1.0870 | 0.7544 | |
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| 0.1552 | 8.0 | 1384 | 1.1080 | 0.7661 | |
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| 0.0968 | 9.0 | 1557 | 0.9836 | 0.7945 | |
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| 0.0623 | 10.0 | 1730 | 1.0252 | 0.7993 | |
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### Framework versions |
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- Transformers 4.11.0.dev0 |
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- Pytorch 1.9.1+cu111 |
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- Datasets 1.12.1 |
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- Tokenizers 0.10.3 |
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