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cv_bn_bestModel_1
Sameen53/cv_bn_bestModel_1
cv_bn_bestModel_1 is a automatic speech recognition model from Sameen53. 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
- Aug 12, 2022
- Updated
- Aug 14, 2022
- SHA
- 4ae74932
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. -->
cv_bn_bestModel_1
This model is a fine-tuned version of Sameen53/facebook_large_CV_bn3 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.1780
- Wer: 0.2315
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: 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: 200
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.1588 | 1.3 | 1500 | 0.2097 | 0.2315 |
| 0.2126 | 2.6 | 3000 | 0.1941 | 0.2310 |
| 0.2242 | 3.9 | 4500 | 0.1834 | 0.2307 |
| 0.2303 | 5.2 | 6000 | 0.1780 | 0.2315 |
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Aug 12, 2022
- Updated
- Aug 14, 2022