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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: distilhubert-ft-common-language
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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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# distilhubert-ft-common-language
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the common_language dataset.
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It achieves the following results on the evaluation set:
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- Loss: 2.7214
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- Accuracy: 0.2797
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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: 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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| 3.6543 | 1.0 | 173 | 3.7611 | 0.0491 |
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| 3.2221 | 2.0 | 346 | 3.4868 | 0.1352 |
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| 2.9332 | 3.0 | 519 | 3.2732 | 0.1861 |
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| 2.7299 | 4.0 | 692 | 3.0944 | 0.2172 |
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| 2.5638 | 5.0 | 865 | 2.9790 | 0.2400 |
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| 2.3871 | 6.0 | 1038 | 2.8668 | 0.2590 |
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| 2.3384 | 7.0 | 1211 | 2.7972 | 0.2653 |
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| 2.2648 | 8.0 | 1384 | 2.7625 | 0.2695 |
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| 2.2162 | 9.0 | 1557 | 2.7405 | 0.2782 |
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| 2.1915 | 10.0 | 1730 | 2.7214 | 0.2797 |
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### Framework versions
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- Transformers 4.12.0.dev0
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- Pytorch 1.9.1+cu111
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- Datasets 1.14.0
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- Tokenizers 0.10.3
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