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Whisper_ASR_ATC_v5
AshtonLKY/Whisper_ASR_ATC_v5
Whisper_ASR_ATC_v5 is a automatic speech recognition model from AshtonLKY. 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
- Aug 22, 2024
- Updated
- Aug 23, 2024
- SHA
- 2f762ccb
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_ASR_ATC
This model is a fine-tuned version of openai/whisper-small on the AshtonLKY/augmented_audio dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.1312
- eval_wer: 16.8206
- eval_runtime: 4349.6365
- eval_samples_per_second: 3.089
- eval_steps_per_second: 0.193
- epoch: 1.7857
- step: 3000
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: 32
- 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: 500
- training_steps: 25000
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.2
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Aug 22, 2024
- Updated
- Aug 23, 2024