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my_asr_5
AK-12/my_asr_5
my_asr_5 is a automatic speech recognition model from AK-12. 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 29, 2023
- Updated
- Aug 29, 2023
- SHA
- d587ef5c
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. -->
my_asr_5
This model is a fine-tuned version of openai/whisper-tiny on the PolyAI/minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7476
- Wer Ortho: 0.3802
- Wer: 0.3289
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: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer Ortho | Wer |
|---|---|---|---|---|---|
| 4.3549 | 0.36 | 10 | 4.3416 | 0.4691 | 0.3270 |
| 3.934 | 0.71 | 20 | 3.3448 | 0.4652 | 0.3263 |
| 2.9669 | 1.07 | 30 | 2.5575 | 0.4439 | 0.3302 |
| 2.1981 | 1.43 | 40 | 1.6783 | 0.4061 | 0.3321 |
| 1.1854 | 1.79 | 50 | 0.7476 | 0.3802 | 0.3289 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Aug 29, 2023
- Updated
- Aug 29, 2023