| --- |
| license: apache-2.0 |
| base_model: facebook/hubert-base-ls960 |
| tags: |
| - generated_from_trainer |
| datasets: |
| - common_language |
| metrics: |
| - accuracy |
| model-index: |
| - name: hubert-base-ls960-finetuned-common_language-finetuned-common_language |
| results: |
| - task: |
| name: Audio Classification |
| type: audio-classification |
| dataset: |
| name: Common Language |
| type: common_language |
| config: full |
| split: test |
| args: full |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.8011068254234446 |
| --- |
| |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| should probably proofread and complete it, then remove this comment. --> |
|
|
| # hubert-base-ls960-finetuned-common_language-finetuned-common_language |
|
|
| This model is a fine-tuned version of [facebook/hubert-base-ls960](https://huggingface.co/facebook/hubert-base-ls960) on the Common Language dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4164 |
| - Accuracy: 0.8011 |
|
|
| ## Model description |
|
|
| More information needed |
|
|
| ## Intended uses & limitations |
|
|
| More information needed |
|
|
| ## Training and evaluation data |
|
|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 2 |
| - total_train_batch_size: 8 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:-----:|:---------------:|:--------:| |
| | 2.9713 | 1.0 | 2774 | 3.0764 | 0.1615 | |
| | 1.7443 | 2.0 | 5549 | 1.8279 | 0.4734 | |
| | 1.1304 | 3.0 | 8323 | 1.3202 | 0.6371 | |
| | 1.2718 | 4.0 | 11098 | 1.1571 | 0.6968 | |
| | 0.769 | 5.0 | 13872 | 1.2917 | 0.7127 | |
| | 0.2656 | 6.0 | 16647 | 1.1549 | 0.7479 | |
| | 0.2939 | 7.0 | 19421 | 1.2372 | 0.7736 | |
| | 0.1278 | 8.0 | 22196 | 1.2985 | 0.7875 | |
| | 0.5175 | 9.0 | 24970 | 1.3664 | 0.7986 | |
| | 0.0547 | 10.0 | 27740 | 1.4164 | 0.8011 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.33.2 |
| - Pytorch 2.0.1+cu118 |
| - Datasets 2.14.5 |
| - Tokenizers 0.13.3 |
|
|
