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whisper-finetuned-all-3
sumukhshadakshari/whisper-finetuned-all-3
whisper-finetuned-all-3 is a automatic speech recognition model from sumukhshadakshari. Use it when you need speech turned into text. It is set up for transformers. 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
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 26, 2024
- Updated
- Nov 18, 2024
- SHA
- 9ae45646
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. -->
sumukhshadakshari/whisper-finetuned-all-3
This model is a fine-tuned version of openai/whisper-tiny on the AtCO2_UWB, Atcosim, Bial dataset. It achieves the following results on the evaluation set:
- Loss: 1.0967
- Wer: 7.6923
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.0967 | 1.0 | 1 | 1.0967 | 7.6923 |
| 1.0967 | 2.0 | 2 | 1.0967 | 7.6923 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.4.1
- Datasets 2.21.0
- Tokenizers 0.20.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Sep 26, 2024
- Updated
- Nov 18, 2024