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CV_bn_trained_on_Validation
Lancelot53/CV_bn_trained_on_Validation
CV_bn_trained_on_Validation is a automatic speech recognition model from Lancelot53. 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
- Jul 18, 2022
- Updated
- Jul 19, 2022
- SHA
- 4f99077e
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_trained_on_Validation
This model is a fine-tuned version of ./content/CV_bn_trained_on_Validation/checkpoint-6000 on the common_voice dataset. It achieves the following results on the evaluation set:
- Loss: 0.2181
- Wer: 0.3385
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: 7.5e-05
- train_batch_size: 8
- 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: 2000
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.1104 | 1.25 | 2000 | 0.2535 | 0.3705 |
| 1.1069 | 2.49 | 4000 | 0.2369 | 0.3545 |
| 1.0344 | 3.74 | 6000 | 0.2181 | 0.3385 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0
- Datasets 2.1.0
- Tokenizers 0.12.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- Jul 18, 2022
- Updated
- Jul 19, 2022