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whisper-small-test
MTWD/whisper-small-test
whisper-small-test is a automatic speech recognition model from MTWD. 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
- May 19, 2024
- Updated
- May 29, 2024
- SHA
- 840b2ab7
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 fine tuned with comms
This model is a fine-tuned version of openai/whisper-small on the BrainHack ASR Test Two dataset. It achieves the following results on the evaluation set:
- Loss: 0.2141
- Wer: 0.0326
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- training_steps: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0059 | 13.3333 | 20 | 0.1429 | 0.0380 |
| 0.0003 | 26.6667 | 40 | 0.2095 | 0.0380 |
| 0.0001 | 40.0 | 60 | 0.2166 | 0.0326 |
| 0.0001 | 53.3333 | 80 | 0.2154 | 0.0326 |
| 0.0001 | 66.6667 | 100 | 0.2141 | 0.0326 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- May 19, 2024
- Updated
- May 29, 2024