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PhoWhisper-small-vispeech-classifier-v3
hr16/PhoWhisper-small-vispeech-classifier-v3
PhoWhisper-small-vispeech-classifier-v3 is a machine learning model from hr16. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- whisper
- Access
- Public
- Created
- Jul 8, 2024
- Updated
- Jul 8, 2024
- SHA
- 9daa6d8e
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. -->
PhoWhisper-small-vispeech-classifier-v3
This model is a fine-tuned version of vinai/PhoWhisper-small on the hr16/ViSpeech-Gender-Dialect-Classification dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.5291
- eval_accuracy: 0.8793
- eval_runtime: 180.5859
- eval_samples_per_second: 16.513
- eval_steps_per_second: 0.692
- epoch: 3.0
- step: 1470
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-06
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 15
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
- Library
- transformers
- Type
- whisper
- Created
- Jul 8, 2024
- Updated
- Jul 8, 2024