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finetuning2
Aviral2412/finetuning2
finetuning2 is a automatic speech recognition model from Aviral2412. 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
- Apr 22, 2024
- Updated
- Apr 22, 2024
- SHA
- ff7ec0eb
Base models
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. -->
finetuning2
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: 0.6883
- Wer: 0.4214
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: 32
- 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.5277 | 4.27 | 500 | 2.8353 | 0.9863 |
| 1.2768 | 8.55 | 1000 | 0.7019 | 0.5581 |
| 0.4511 | 12.82 | 1500 | 0.6201 | 0.4726 |
| 0.2591 | 17.09 | 2000 | 0.6428 | 0.4469 |
| 0.1854 | 21.37 | 2500 | 0.6901 | 0.4388 |
| 0.1386 | 25.64 | 3000 | 0.6933 | 0.4259 |
| 0.111 | 29.91 | 3500 | 0.6883 | 0.4214 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 22, 2024
- Updated
- Apr 22, 2024