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whisper-small-self
St4n/whisper-small-self
whisper-small-self is a automatic speech recognition model from St4n. 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
- Mar 30, 2024
- Updated
- Mar 30, 2024
- SHA
- 864e1beb
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 Small En - Stan
This model is a fine-tuned version of openai/whisper-small on the new-2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1269
- Wer: 8.5137
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: 200
- training_steps: 6000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0026 | 30.77 | 200 | 0.0885 | 3.0303 |
| 0.0001 | 61.54 | 400 | 0.1035 | 8.8023 |
| 0.0 | 92.31 | 600 | 0.1082 | 8.8023 |
| 0.0 | 123.08 | 800 | 0.1111 | 8.5137 |
| 0.0 | 153.85 | 1000 | 0.1128 | 8.5137 |
| 0.0 | 184.62 | 1200 | 0.1143 | 8.5137 |
| 0.0 | 215.38 | 1400 | 0.1153 | 8.5137 |
| 0.0 | 246.15 | 1600 | 0.1162 | 8.5137 |
| 0.0 | 276.92 | 1800 | 0.1169 | 8.5137 |
| 0.0 | 307.69 | 2000 | 0.1176 | 8.5137 |
| 0.0 | 338.46 | 2200 | 0.1196 | 8.5137 |
| 0.0 | 369.23 | 2400 | 0.1211 | 8.5137 |
| 0.0 | 400.0 | 2600 | 0.1217 | 8.5137 |
| 0.0 | 430.77 | 2800 | 0.1221 | 8.5137 |
| 0.0 | 461.54 | 3000 | 0.1224 | 8.5137 |
| 0.0 | 492.31 | 3200 | 0.1225 | 8.5137 |
| 0.0 | 523.08 | 3400 | 0.1227 | 8.5137 |
| 0.0 | 553.85 | 3600 | 0.1228 | 8.5137 |
| 0.0 | 584.62 | 3800 | 0.1229 | 8.5137 |
| 0.0 | 615.38 | 4000 | 0.1230 | 8.5137 |
| 0.0 | 646.15 | 4200 | 0.1253 | 8.5137 |
| 0.0 | 676.92 | 4400 | 0.1263 | 8.5137 |
| 0.0 | 707.69 | 4600 | 0.1265 | 8.5137 |
| 0.0 | 738.46 | 4800 | 0.1267 | 8.5137 |
| 0.0 | 769.23 | 5000 | 0.1266 | 8.5137 |
| 0.0 | 800.0 | 5200 | 0.1267 | 8.5137 |
| 0.0 | 830.77 | 5400 | 0.1267 | 8.5137 |
| 0.0 | 861.54 | 5600 | 0.1269 | 8.5137 |
| 0.0 | 892.31 | 5800 | 0.1269 | 8.5137 |
| 0.0 | 923.08 | 6000 | 0.1269 | 8.5137 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Languages
- en
- Created
- Mar 30, 2024
- Updated
- Mar 30, 2024