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dat259-wav2vec2-en2
Jethuestad/dat259-wav2vec2-en2
dat259-wav2vec2-en2 is a automatic speech recognition model from Jethuestad. 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
- Aug 17, 2022
- Updated
- Aug 17, 2022
- SHA
- 78d02c1e
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. -->
dat259-wav2vec2-en2
This model is a fine-tuned version of facebook/wav2vec2-base on the common_voice_1_0 dataset. It achieves the following results on the evaluation set:
- Loss: 1.4036
- Wer: 0.5090
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: 0.0001
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.4355 | 1.82 | 200 | 3.0307 | 1.0 |
| 2.1744 | 3.64 | 400 | 1.5661 | 0.7449 |
| 0.5535 | 5.45 | 600 | 1.3005 | 0.5914 |
| 0.3248 | 7.27 | 800 | 1.2481 | 0.5690 |
| 0.2297 | 9.09 | 1000 | 1.2810 | 0.5366 |
| 0.18 | 10.91 | 1200 | 1.3481 | 0.5378 |
| 0.1499 | 12.73 | 1400 | 1.3124 | 0.5350 |
| 0.1283 | 14.55 | 1600 | 1.3668 | 0.5161 |
| 0.1089 | 16.36 | 1800 | 1.3833 | 0.5109 |
| 0.0973 | 18.18 | 2000 | 1.3876 | 0.5075 |
| 0.0897 | 20.0 | 2200 | 1.4036 | 0.5090 |
Framework versions
- Transformers 4.21.1
- Pytorch 1.12.1+cu102
- Datasets 2.4.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 17, 2022
- Updated
- Aug 17, 2022