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C0_LID_DEV
ntoldalagi/C0_LID_DEV
C0_LID_DEV is a automatic speech recognition model from ntoldalagi. 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
- Mar 21, 2022
- Updated
- Mar 28, 2022
- SHA
- 78039d16
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. -->
C0_LID_DEV
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: inf
- Wer: 0.8267
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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| No log | 0.0 | 25 | inf | 0.8426 |
| 1.5354 | 0.17 | 2000 | inf | 0.8198 |
| 1.5688 | 0.33 | 4000 | inf | 0.8271 |
| 1.5294 | 0.5 | 6000 | inf | 0.8339 |
| 1.1947 | 0.67 | 8000 | inf | 0.8260 |
| 1.1534 | 0.83 | 10000 | inf | 0.8267 |
| 1.1484 | 1.0 | 12000 | inf | 0.8267 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.2+cu113
- Datasets 1.18.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 21, 2022
- Updated
- Mar 28, 2022