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whisper-large-edacc-v2
sage-bergerson/whisper-large-edacc-v2
whisper-large-edacc-v2 is a automatic speech recognition model from sage-bergerson. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- whisper
- Access
- Public
- Created
- Sep 2, 2024
- Updated
- Sep 9, 2024
- SHA
- dbe9ac98
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 EdAcc V2
This model is a fine-tuned version of openai/whisper-large on the EdAcc dataset. It achieves the following results on the evaluation set:
- Loss: 0.6378
- Wer: 0.5855
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: 5e-06
- train_batch_size: 32
- eval_batch_size: 16
- 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: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1515 | 0.3247 | 100 | 0.7869 | 0.3055 |
| 0.6272 | 0.6494 | 200 | 0.6171 | 0.4607 |
| 0.5614 | 0.9740 | 300 | 0.5925 | 0.6110 |
| 0.43 | 1.2987 | 400 | 0.5868 | 0.5105 |
| 0.4576 | 1.6234 | 500 | 0.5844 | 0.6095 |
| 0.4727 | 1.9481 | 600 | 0.5784 | 0.6796 |
| 0.3274 | 2.2727 | 700 | 0.6094 | 0.5416 |
| 0.2862 | 2.5974 | 800 | 0.6027 | 0.5609 |
| 0.2908 | 2.9221 | 900 | 0.6107 | 0.4607 |
| 0.2221 | 3.2468 | 1000 | 0.6378 | 0.5855 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- cc-by-sa-4.0
- Languages
- en
- Created
- Sep 2, 2024
- Updated
- Sep 9, 2024