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unispeech-sat-base
halcyonzhou/unispeech-sat-base
unispeech-sat-base is a automatic speech recognition model from halcyonzhou. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- unispeech-sat
- Access
- Public
- Created
- Aug 17, 2025
- Updated
- Aug 30, 2025
- SHA
- 9c7d6289
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. -->
unispeech-sat-base
This model was trained from scratch on the minds14 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4374
- Wer: 0.2311
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Use adafactor and the args are: No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.3806 | 4.4267 | 500 | 0.2892 | 0.1793 |
| 0.3067 | 8.8533 | 1000 | 0.4070 | 0.2058 |
| 0.3009 | 13.2756 | 1500 | 0.4186 | 0.2150 |
| 0.2842 | 17.7022 | 2000 | 0.6049 | 0.2434 |
| 0.2608 | 22.1244 | 2500 | 0.4818 | 0.2335 |
| 0.2639 | 26.5511 | 3000 | 0.4374 | 0.2311 |
Framework versions
- Transformers 4.51.0
- Pytorch 2.8.0+cu129
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- unispeech-sat
- Created
- Aug 17, 2025
- Updated
- Aug 30, 2025