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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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- 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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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: common_language |
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type: common_language |
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config: full |
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split: validation |
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args: full |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.7800611413043478 |
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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 common_language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2554 |
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- Accuracy: 0.7801 |
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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: 8 |
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- eval_batch_size: 1 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 32 |
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- optimizer: Use OptimizerNames.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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| 2.58 | 0.9989 | 693 | 2.5609 | 0.2899 | |
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| 1.8581 | 1.9989 | 1386 | 2.1486 | 0.4008 | |
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| 1.3784 | 2.9989 | 2079 | 1.5906 | 0.5666 | |
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| 0.976 | 3.9989 | 2772 | 1.4036 | 0.6318 | |
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| 0.6109 | 4.9989 | 3465 | 1.3022 | 0.6695 | |
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| 0.4357 | 5.9989 | 4158 | 1.2386 | 0.7138 | |
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| 0.23 | 6.9989 | 4851 | 1.3078 | 0.7221 | |
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| 0.1461 | 7.9989 | 5544 | 1.2247 | 0.7534 | |
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| 0.0567 | 8.9989 | 6237 | 1.3279 | 0.7646 | |
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| 0.0375 | 9.9989 | 6930 | 1.2554 | 0.7801 | |
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### Framework versions |
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- Transformers 4.49.0.dev0 |
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- Pytorch 2.5.1+cu124 |
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- Datasets 3.2.0 |
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- Tokenizers 0.21.0 |
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