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wav2vec2-xlsr-multilingual-56-finetuned-amd
justin1983/wav2vec2-xlsr-multilingual-56-finetuned-amd
wav2vec2-xlsr-multilingual-56-finetuned-amd is a audio classification model from justin1983. 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
- May 14, 2023
- Updated
- May 14, 2023
- SHA
- f6c3a0c3
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. -->
wav2vec2-xlsr-multilingual-56-finetuned-amd
This model is a fine-tuned version of voidful/wav2vec2-xlsr-multilingual-56 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3884
- Accuracy: 0.8675
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.2048 | 1.0 | 196 | 0.5159 | 0.7974 |
| 0.2246 | 2.0 | 392 | 0.3884 | 0.8675 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 14, 2023
- Updated
- May 14, 2023