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fine_tune
mostafaashahin/fine_tune
fine_tune is a automatic speech recognition model from mostafaashahin. 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
- Sep 26, 2023
- Updated
- Sep 26, 2023
- SHA
- 168c6ce7
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. -->
wav2vec2-base-timit-phoneme-arpa-39-v3
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3767
- Wer: 0.0743
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: 32
- 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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.0128 | 3.45 | 500 | 2.0122 | 0.6527 |
| 0.6954 | 6.9 | 1000 | 0.3603 | 0.0777 |
| 0.3137 | 10.34 | 1500 | 0.3190 | 0.0726 |
| 0.219 | 13.79 | 2000 | 0.3554 | 0.0749 |
| 0.1633 | 17.24 | 2500 | 0.3767 | 0.0743 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 26, 2023
- Updated
- Sep 26, 2023