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whisper-small-finetuned
ChepkiruiTonui/whisper-small-finetuned
whisper-small-finetuned is a machine learning model from ChepkiruiTonui. 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 peft. 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
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- May 19, 2024
- Updated
- Jul 3, 2024
- SHA
- 6aeda4e3
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. -->
whisper-small-finetuned
This model is a fine-tuned version of openai/whisper-small on the common_voice_16_1 dataset. It achieves the following results on the evaluation set:
- eval_loss: 5.0878
- eval_wer: 128.125
- eval_runtime: 27.4776
- eval_samples_per_second: 0.728
- eval_steps_per_second: 0.036
- epoch: 33.01
- step: 100
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: 96
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 100
- mixed_precision_training: Native AMP
Framework versions
- PEFT 0.9.0
- Transformers 4.39.2
- Pytorch 2.2.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- May 19, 2024
- Updated
- Jul 3, 2024