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FT-Frisian-10m_new
xuliu15/FT-Frisian-10m_new
FT-Frisian-10m_new is a automatic speech recognition model from xuliu15. 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
- Jun 4, 2024
- Updated
- Jun 5, 2024
- SHA
- 202541ba
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. -->
Whisper Small Frisian 10m
This model is a fine-tuned version of openai/whisper-small on the Common Voice 6.1 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4198
- Wer: 56.2538
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 250
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.6208 | 3.3333 | 50 | 1.6201 | 70.3083 |
| 0.0687 | 6.6667 | 100 | 1.4034 | 58.9699 |
| 0.0038 | 10.0 | 150 | 1.3975 | 56.5104 |
| 0.0019 | 13.3333 | 200 | 1.4150 | 56.2966 |
| 0.0015 | 16.6667 | 250 | 1.4198 | 56.2538 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jun 4, 2024
- Updated
- Jun 5, 2024