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whisper-grain-lg_cv_only
sulaimank/whisper-grain-lg_cv_only
whisper-grain-lg_cv_only is a automatic speech recognition model from sulaimank. 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
- Nov 1, 2024
- Updated
- Nov 3, 2024
- SHA
- d8b1a04b
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-grain-lg_cv_only
This model is a fine-tuned version of openai/whisper-small on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.7301
- Wer: 0.3085
- Cer: 0.1022
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_hf with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 100
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer | Cer |
|---|---|---|---|---|---|
| 2.047 | 1.0 | 4442 | 0.5846 | 0.7958 | 0.2884 |
| 0.6167 | 2.0 | 8884 | 0.4595 | 0.3765 | 0.1123 |
| 0.4114 | 3.0 | 13326 | 0.4360 | 0.3274 | 0.0961 |
| 0.3021 | 4.0 | 17768 | 0.4581 | 0.3233 | 0.1041 |
| 0.2397 | 5.0 | 22210 | 0.4812 | 0.4780 | 0.2962 |
| 0.2033 | 6.0 | 26652 | 0.5091 | 0.3106 | 0.0936 |
| 0.1828 | 7.0 | 31094 | 0.5121 | 0.3105 | 0.1066 |
| 0.1722 | 8.0 | 35536 | 0.5459 | 0.3140 | 0.0999 |
| 0.1662 | 9.0 | 39978 | 0.5600 | 0.3358 | 0.1088 |
| 0.1628 | 10.0 | 44420 | 0.5772 | 0.3287 | 0.1064 |
| 0.1501 | 11.0 | 48862 | 0.5920 | 0.3217 | 0.1069 |
| 0.1247 | 12.0 | 53304 | 0.5935 | 0.3236 | 0.1368 |
| 0.1052 | 13.0 | 57746 | 0.6017 | 0.2989 | 0.0963 |
| 0.0906 | 14.0 | 62188 | 0.6221 | 0.3205 | 0.1056 |
| 0.0804 | 15.0 | 66630 | 0.6380 | 0.3011 | 0.0977 |
| 0.0715 | 16.0 | 71072 | 0.6551 | 0.3064 | 0.1012 |
| 0.0648 | 17.0 | 75514 | 0.6800 | 0.3128 | 0.1049 |
| 0.0589 | 18.0 | 79956 | 0.6752 | 0.2997 | 0.0979 |
| 0.0533 | 19.0 | 84398 | 0.6970 | 0.3079 | 0.0985 |
| 0.0498 | 20.0 | 88840 | 0.7228 | 0.3043 | 0.0981 |
| 0.0451 | 21.0 | 93282 | 0.7327 | 0.3137 | 0.1042 |
| 0.0424 | 22.0 | 97724 | 0.7152 | 0.3002 | 0.1002 |
| 0.04 | 23.0 | 102166 | 0.7301 | 0.3085 | 0.1022 |
Framework versions
- Transformers 4.46.1
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 1, 2024
- Updated
- Nov 3, 2024