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whisper-small
yspark0519/whisper-small
whisper-small is a machine learning model from yspark0519. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Dec 16, 2024
- Updated
- Dec 17, 2024
- SHA
- 17e257e3
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 Hi - Sanchit Gandhi
This model is a fine-tuned version of openai/whisper-small on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1456
- eval_cer: 0.0426
- eval_runtime: 2429.755
- eval_samples_per_second: 3.947
- eval_steps_per_second: 0.049
- step: 0
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: 80
- eval_batch_size: 80
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 0
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu117
- Datasets 3.2.0
- Tokenizers 0.13.3
- Type
- whisper
- License
- apache-2.0
- Languages
- hi
- Created
- Dec 16, 2024
- Updated
- Dec 17, 2024