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whisper_finetuned_ver2
GGarri/whisper_finetuned_ver2
whisper_finetuned_ver2 is a automatic speech recognition model from GGarri. 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
- Jul 2, 2024
- Updated
- Jul 2, 2024
- SHA
- 7c822769
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_finetuned_ver2
This model is a fine-tuned version of openai/whisper-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0048
- Cer: 0.5262
- Wer: 0.4840
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: 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: 500
- training_steps: 5000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.0 | 35.71 | 1000 | 0.0047 | 0.5496 | 0.5227 |
| 0.0001 | 71.43 | 2000 | 0.0048 | 0.5262 | 0.4840 |
| 0.0 | 107.14 | 3000 | 0.0051 | 0.5964 | 0.5615 |
| 0.0 | 142.86 | 4000 | 0.0053 | 0.6080 | 0.5808 |
| 0.0 | 178.57 | 5000 | 0.0054 | 0.6080 | 0.5808 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.0.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 2, 2024
- Updated
- Jul 2, 2024