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wav2vec2-base-timit-demo
jetpopun/wav2vec2-base-timit-demo
wav2vec2-base-timit-demo is a machine learning model from jetpopun. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Model type
- wav2vec2
- Access
- Public
- Created
- Aug 2, 2024
- Updated
- Aug 11, 2024
- SHA
- 803b587c
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
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4578
- Wer: 0.3117
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: 16
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.2306 | 2.01 | 500 | 0.4478 | 0.3130 |
| 0.1803 | 4.02 | 1000 | 0.4578 | 0.3117 |
Framework versions
- Transformers 4.17.0
- Pytorch 2.1.2+cu121
- Datasets 1.18.4
- Tokenizers 0.20.0
- Type
- wav2vec2
- Created
- Aug 2, 2024
- Updated
- Aug 11, 2024