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whisper-large-v2-finetuning-3
guilhermebastos96/whisper-large-v2-finetuning-3
whisper-large-v2-finetuning-3 is a automatic speech recognition model from guilhermebastos96. 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 4, 2024
- Updated
- Jul 5, 2024
- SHA
- b20bc874
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-large-v2-finetuning-3
This model is a fine-tuned version of guilhermebastos96/whisper-large-v2-finetuning-2 on the common_voice_17_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2959
- Wer: 7.9254
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: 16
- 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: 10000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.0365 | 0.5089 | 1000 | 0.2219 | 12.8233 |
| 0.0154 | 1.0178 | 2000 | 0.2462 | 9.3545 |
| 0.0255 | 1.5267 | 3000 | 0.2492 | 9.2442 |
| 0.0178 | 2.0356 | 4000 | 0.2386 | 9.3401 |
| 0.0121 | 2.5445 | 5000 | 0.2447 | 8.9741 |
| 0.0051 | 3.0534 | 6000 | 0.2619 | 8.8478 |
| 0.0034 | 3.5623 | 7000 | 0.2634 | 8.3427 |
| 0.0014 | 4.0712 | 8000 | 0.2776 | 8.0597 |
| 0.001 | 4.5802 | 9000 | 0.2961 | 8.0022 |
| 0.0006 | 5.0891 | 10000 | 0.2959 | 7.9254 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.2.1
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 4, 2024
- Updated
- Jul 5, 2024