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model-classifier-vctk-edacc
Milana/model-classifier-vctk-edacc
model-classifier-vctk-edacc is a audio classification model from Milana. 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 cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- May 23, 2024
- Updated
- May 23, 2024
- SHA
- c47a470a
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. -->
model-classifier-vctk-edacc
This model is a fine-tuned version of facebook/mms-lid-4017 on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.9928
- eval_accuracy: 0.6491
- eval_runtime: 2565.174
- eval_samples_per_second: 3.224
- eval_steps_per_second: 0.403
- epoch: 0.5
- step: 200
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: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 400
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- May 23, 2024
- Updated
- May 23, 2024