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w2v2-base-pretrained_lr5e-5_at0.9_da1
MelanieKoe/w2v2-base-pretrained_lr5e-5_at0.9_da1
w2v2-base-pretrained_lr5e-5_at0.9_da1 is a automatic speech recognition model from MelanieKoe. 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
- wav2vec2
- Access
- Public
- Created
- Apr 2, 2024
- Updated
- Apr 17, 2024
- SHA
- 0fe70b7f
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. -->
w2v2-base-pretrained_lr5e-5_at0.9_da1
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.5021
- Wer: 0.1820
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-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: 1000
- training_steps: 4000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 18.4753 | 6.1 | 250 | 4.2333 | 1.0 |
| 3.358 | 12.2 | 500 | 3.2161 | 1.0 |
| 3.108 | 18.29 | 750 | 3.1259 | 1.0 |
| 2.2419 | 24.39 | 1000 | 1.1771 | 0.7117 |
| 0.2791 | 30.49 | 1250 | 1.5708 | 0.2328 |
| 0.137 | 36.59 | 1500 | 1.7979 | 0.1961 |
| 0.0936 | 42.68 | 1750 | 2.0223 | 0.1948 |
| 0.0723 | 48.78 | 2000 | 2.2080 | 0.1892 |
| 0.0584 | 54.88 | 2250 | 2.1748 | 0.1854 |
| 0.0472 | 60.98 | 2500 | 2.2649 | 0.1828 |
| 0.042 | 67.07 | 2750 | 2.3289 | 0.1880 |
| 0.0349 | 73.17 | 3000 | 2.3042 | 0.1854 |
| 0.032 | 79.27 | 3250 | 2.2214 | 0.1841 |
| 0.0284 | 85.37 | 3500 | 2.3253 | 0.1807 |
| 0.0258 | 91.46 | 3750 | 2.4980 | 0.1815 |
| 0.0238 | 97.56 | 4000 | 2.5021 | 0.1820 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 2, 2024
- Updated
- Apr 17, 2024