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DH_ONM_WORDS
iamhack/DH_ONM_WORDS
DH_ONM_WORDS is a audio classification model from iamhack. 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
- Feb 12, 2024
- Updated
- Feb 12, 2024
- SHA
- eaf4ae4c
Base models
Datasets
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. -->
DH_ONM_WORDS
This model is a fine-tuned version of ntu-spml/distilhubert on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0021
- Accuracy: 0.9998
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: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: tpu
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0251 | 1.0 | 263 | 0.0150 | 0.9993 |
| 0.0085 | 2.0 | 527 | 0.0045 | 0.9997 |
| 0.0026 | 3.0 | 791 | 0.0029 | 0.9998 |
| 0.0018 | 4.0 | 1055 | 0.0023 | 0.9998 |
| 0.0019 | 4.99 | 1315 | 0.0021 | 0.9998 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.0.0+cu118
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Feb 12, 2024
- Updated
- Feb 12, 2024