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whisper-small-cpu-finetuned
discoverylabs/whisper-small-cpu-finetuned
whisper-small-cpu-finetuned is a machine learning model from discoverylabs. 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
- May 7, 2025
- Updated
- May 7, 2025
- SHA
- 3a381de1
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. -->
Whisper Small CPU Finetuned
This model is a fine-tuned version of openai/whisper-small on the LibriSpeech ASR Dummy dataset. It achieves the following results on the evaluation set:
- Loss: 0.8936
- Wer: 0.0
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 2
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.8939 | 0.5 | 5 | 0.9602 | 0.0 |
| 0.7066 | 1.0 | 10 | 0.8936 | 0.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cpu
- Datasets 2.16.1
- Tokenizers 0.15.1
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- May 7, 2025
- Updated
- May 7, 2025