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wav2vec2-base-timit-demo-google-colab-2
Thunpitcha/wav2vec2-base-timit-demo-google-colab-2
wav2vec2-base-timit-demo-google-colab-2 is a automatic speech recognition model from Thunpitcha. 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
- Dec 30, 2023
- Updated
- Dec 30, 2023
- SHA
- 338a6185
Base models
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. -->
wav2vec2-base-timit-demo-google-colab-2
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4179
- Wer: 0.3574
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: 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: 1000
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 3.6648 | 5.81 | 500 | 2.8027 | 1.0 |
| 1.0049 | 11.63 | 1000 | 0.5596 | 0.5456 |
| 0.2768 | 17.44 | 1500 | 0.5116 | 0.4262 |
| 0.1315 | 23.26 | 2000 | 0.4359 | 0.3939 |
| 0.0777 | 29.07 | 2500 | 0.4179 | 0.3574 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 1.18.3
- Tokenizers 0.15.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 30, 2023
- Updated
- Dec 30, 2023