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wav2vec2-base-cv-demo-google-colab
nightraider/wav2vec2-base-cv-demo-google-colab
wav2vec2-base-cv-demo-google-colab is a machine learning model from nightraider. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 1, 2024
- Updated
- Sep 4, 2024
- SHA
- bdb6d4f0
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-cv-demo-google-colab
This model is a fine-tuned version of facebook/wav2vec2-large-960h on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3575
- Wer: 0.2805
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: 16
- 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: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 8.951 | 0.7126 | 300 | 3.0660 | 1.0 |
| 3.0514 | 1.4252 | 600 | 2.9228 | 1.0 |
| 2.7598 | 2.1378 | 900 | 0.7960 | 0.5544 |
| 0.7975 | 2.8504 | 1200 | 0.3575 | 0.2805 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Sep 1, 2024
- Updated
- Sep 4, 2024