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dys_asr_960h
pnparam/dys_asr_960h
dys_asr_960h is a automatic speech recognition model from pnparam. 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
- wav2vec2
- Access
- Public
- Created
- Feb 15, 2023
- Updated
- Feb 15, 2023
- SHA
- 99aaaea7
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. -->
dys_asr_960h
This model is a fine-tuned version of facebook/wav2vec2-large-960h-lv60-self on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0138
- Wer: 0.9938
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 10.1488 | 1.36 | 500 | 2.5860 | 1.0 |
| 2.0724 | 2.72 | 1000 | 0.6709 | 1.7570 |
| 0.5022 | 4.09 | 1500 | 0.0526 | 1.0312 |
| 0.1676 | 5.45 | 2000 | 0.0163 | 0.9969 |
| 0.0945 | 6.81 | 2500 | 0.0138 | 0.9938 |
Framework versions
- Transformers 4.17.0
- Pytorch 1.13.1+cu116
- Datasets 1.18.3
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 15, 2023
- Updated
- Feb 15, 2023