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PhoWhisper-small-vispeech-classifier-v2
hr16/PhoWhisper-small-vispeech-classifier-v2
PhoWhisper-small-vispeech-classifier-v2 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 7, 2024
- Updated
- Jul 8, 2024
- SHA
- 72cb61ef
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. -->
<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/> <img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>
PhoWhisper-small-vispeech-classifier-v2
This model is a fine-tuned version of vinai/PhoWhisper-small on the hr16/ViSpeech-Gender-Dialect dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.8975
- eval_accuracy: 0.7134
- eval_runtime: 184.7927
- eval_samples_per_second: 15.103
- eval_steps_per_second: 0.758
- epoch: 8.0
- step: 3352
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-06
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Library
- transformers
- Type
- whisper
- Created
- Jul 7, 2024
- Updated
- Jul 8, 2024