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CS337_finetune_wav2vec_base
ThuyNT03/CS337_finetune_wav2vec_base
CS337_finetune_wav2vec_base is a audio classification model from ThuyNT03. 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
- wav2vec2
- Access
- Public
- Created
- Nov 13, 2023
- Updated
- Dec 16, 2023
- SHA
- 12738e4e
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. -->
CS337_finetune_wav2vec_base
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1925
- Accuracy: 0.6574
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- 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
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 0.97 | 28 | 2.0354 | 0.1612 |
| No log | 1.98 | 57 | 1.9414 | 0.3769 |
| No log | 2.99 | 86 | 1.7627 | 0.4911 |
| 1.8976 | 4.0 | 115 | 1.6221 | 0.5799 |
| 1.8976 | 4.97 | 143 | 1.5168 | 0.6117 |
| 1.8976 | 5.98 | 172 | 1.4421 | 0.6345 |
| 1.8976 | 6.99 | 201 | 1.3921 | 0.6129 |
| 1.4588 | 8.0 | 230 | 1.3384 | 0.6332 |
| 1.4588 | 8.97 | 258 | 1.3194 | 0.6371 |
| 1.4588 | 9.98 | 287 | 1.2695 | 0.6536 |
| 1.4588 | 10.99 | 316 | 1.2573 | 0.6371 |
| 1.2555 | 12.0 | 345 | 1.2339 | 0.6574 |
| 1.2555 | 12.97 | 373 | 1.2325 | 0.6472 |
| 1.2555 | 13.98 | 402 | 1.2141 | 0.6586 |
| 1.2555 | 14.99 | 431 | 1.2057 | 0.6650 |
| 1.1606 | 16.0 | 460 | 1.2044 | 0.6459 |
| 1.1606 | 16.97 | 488 | 1.2027 | 0.6459 |
| 1.1606 | 17.98 | 517 | 1.1929 | 0.6548 |
| 1.1606 | 18.99 | 546 | 1.1929 | 0.6574 |
| 1.1606 | 19.48 | 560 | 1.1925 | 0.6574 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 13, 2023
- Updated
- Dec 16, 2023