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--- |
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license: apache-2.0 |
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base_model: facebook/hubert-base-ls960 |
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tags: |
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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: hubert-base-ls960-finetuned-common_language-finetuned-common_language |
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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: test |
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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: 0.8011068254234446 |
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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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# hubert-base-ls960-finetuned-common_language-finetuned-common_language |
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This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the Common Language dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.4164 |
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- Accuracy: 0.8011 |
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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: 5e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 8 |
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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 |
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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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| 2.9713 | 1.0 | 2774 | 3.0764 | 0.1615 | |
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| 1.7443 | 2.0 | 5549 | 1.8279 | 0.4734 | |
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| 1.1304 | 3.0 | 8323 | 1.3202 | 0.6371 | |
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| 1.2718 | 4.0 | 11098 | 1.1571 | 0.6968 | |
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| 0.769 | 5.0 | 13872 | 1.2917 | 0.7127 | |
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| 0.2656 | 6.0 | 16647 | 1.1549 | 0.7479 | |
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| 0.2939 | 7.0 | 19421 | 1.2372 | 0.7736 | |
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| 0.1278 | 8.0 | 22196 | 1.2985 | 0.7875 | |
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| 0.5175 | 9.0 | 24970 | 1.3664 | 0.7986 | |
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| 0.0547 | 10.0 | 27740 | 1.4164 | 0.8011 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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