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nick_asr_v2
ntoldalagi/nick_asr_v2
nick_asr_v2 is a automatic speech recognition model from ntoldalagi. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 5, 2022
- Updated
- Apr 14, 2022
- SHA
- d80d7625
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. -->
nick_asr_v2
This model is a fine-tuned version of ntoldalagi/nick_asr_v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4562
- Wer: 0.6422
- Cer: 0.2409
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Cer | Validation Loss | Wer |
|---|---|---|---|---|---|
| 0.2616 | 0.44 | 300 | 0.2905 | 1.2200 | 0.7496 |
| 0.441 | 0.87 | 600 | 0.2866 | 1.1936 | 0.7385 |
| 0.4366 | 1.31 | 900 | 0.2795 | 1.1584 | 0.7274 |
| 0.3982 | 1.75 | 1200 | 0.2808 | 1.2033 | 0.7274 |
| 0.3891 | 2.18 | 1500 | 0.2753 | 1.2044 | 0.7166 |
| 0.3508 | 2.91 | 2000 | 1.2382 | 0.7220 | 0.2743 |
| 0.2783 | 4.37 | 3000 | 1.3327 | 0.7177 | 0.2705 |
| 0.2495 | 5.82 | 4000 | 1.2286 | 0.6749 | 0.2638 |
| 0.1982 | 7.28 | 5000 | 1.3073 | 0.6721 | 0.2585 |
| 0.1717 | 8.73 | 6000 | 1.2941 | 0.6627 | 0.2500 |
| 0.1508 | 10.19 | 7000 | 1.3625 | 0.6584 | 0.2490 |
| 0.1329 | 11.64 | 8000 | 1.3863 | 0.6584 | 0.2474 |
| 0.1303 | 13.1 | 9000 | 1.3714 | 0.6534 | 0.2449 |
| 0.1159 | 14.56 | 10000 | 1.4043 | 0.6473 | 0.2442 |
| 0.1015 | 16.01 | 11000 | 1.4245 | 0.6498 | 0.2419 |
| 0.098 | 17.47 | 12000 | 1.4410 | 0.6440 | 0.2425 |
| 0.0869 | 18.92 | 13000 | 1.4562 | 0.6422 | 0.2409 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.0.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Apr 5, 2022
- Updated
- Apr 14, 2022