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hubert-base-ls960-finetuned-eos_poc5_ge-di-v5
Ahmed107/hubert-base-ls960-finetuned-eos_poc5_ge-di-v5
hubert-base-ls960-finetuned-eos_poc5_ge-di-v5 is a audio classification model from Ahmed107. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Dec 18, 2024
- Updated
- Dec 18, 2024
- SHA
- 36117b05
Base models
Model card
From the Hugging Face model README
<!-- 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-eos_poc5_ge-di-v5
This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8936
- Accuracy: 0.6772
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: 3e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0044 | 1.0 | 302 | 1.0290 | 0.5622 |
| 0.7936 | 2.0 | 604 | 1.0197 | 0.5640 |
| 0.9923 | 3.0 | 906 | 0.9170 | 0.6122 |
| 0.9078 | 4.0 | 1208 | 0.9016 | 0.6160 |
| 0.8268 | 5.0 | 1510 | 0.9285 | 0.6345 |
| 0.7044 | 6.0 | 1812 | 0.8985 | 0.6494 |
| 0.6689 | 7.0 | 2114 | 0.9121 | 0.6549 |
| 0.7087 | 8.0 | 2416 | 0.8722 | 0.6735 |
| 0.6809 | 9.0 | 2718 | 0.8894 | 0.6735 |
| 0.7639 | 10.0 | 3020 | 0.8936 | 0.6772 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Dec 18, 2024
- Updated
- Dec 18, 2024