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sh_sr_model
Yoru1010/sh_sr_model
sh_sr_model is a automatic speech recognition model from Yoru1010. 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
- Nov 17, 2023
- Updated
- Nov 19, 2023
- SHA
- 4c2c022e
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. -->
sh_sr_model
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.0234
- Wer: 0.4765
- Cer: 0.8746
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- 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: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 0.9917 | 20.0 | 100 | 1.3445 | 0.5882 | 0.8796 |
| 0.5644 | 40.0 | 200 | 1.3491 | 0.4941 | 0.875 |
| 0.3946 | 60.0 | 300 | 1.7289 | 0.5412 | 0.8762 |
| 0.2667 | 80.0 | 400 | 1.8795 | 0.5235 | 0.8762 |
| 0.2559 | 100.0 | 500 | 2.0205 | 0.5235 | 0.8772 |
| 0.2148 | 120.0 | 600 | 1.8615 | 0.4941 | 0.875 |
| 0.1694 | 140.0 | 700 | 1.9697 | 0.4765 | 0.8746 |
| 0.1793 | 160.0 | 800 | 1.9240 | 0.4706 | 0.8732 |
| 0.1598 | 180.0 | 900 | 2.0063 | 0.4765 | 0.8742 |
| 0.1569 | 200.0 | 1000 | 2.0234 | 0.4765 | 0.8746 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 17, 2023
- Updated
- Nov 19, 2023