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wav2vec2-large-sw-cv-100hr-v3
KasuleTrevor/wav2vec2-large-sw-cv-100hr-v3
wav2vec2-large-sw-cv-100hr-v3 is a machine learning model from KasuleTrevor. 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
- Aug 18, 2024
- Updated
- Aug 18, 2024
- SHA
- 7f2477a2
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-large-sw-cv-100hr-v3
This model is a fine-tuned version of facebook/wav2vec2-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6016
- Model Preparation Time: 0.0041
- Wer: 0.4019
- Cer: 0.1436
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: 0.0005
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.15
- num_epochs: 120
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Wer | Cer |
|---|---|---|---|---|---|---|
| 1.6262 | 0.9998 | 2079 | 0.5262 | 0.0041 | 0.5289 | 0.1392 |
| 0.3281 | 2.0 | 4159 | 0.4055 | 0.0041 | 0.4037 | 0.1134 |
| 0.265 | 2.9998 | 6238 | 0.3537 | 0.0041 | 0.3599 | 0.0974 |
| 0.2592 | 4.0 | 8318 | 0.3882 | 0.0041 | 0.3790 | 0.1157 |
| 0.27 | 4.9998 | 10397 | 0.4337 | 0.0041 | 0.3919 | 0.1124 |
| 0.3063 | 6.0 | 12477 | 0.4226 | 0.0041 | 0.4094 | 0.1204 |
| 2.7704 | 6.9998 | 14556 | 2.8607 | 0.0041 | 1.0 | 1.0 |
| 2.86 | 8.0 | 16636 | 2.8618 | 0.0041 | 1.0 | 1.0 |
| 2.861 | 8.9998 | 18715 | 2.8596 | 0.0041 | 1.0 | 1.0 |
| 2.8597 | 10.0 | 20795 | 2.8618 | 0.0041 | 1.0 | 1.0 |
| 2.8611 | 10.9998 | 22874 | 2.8581 | 0.0041 | 1.0 | 1.0 |
| 2.8597 | 12.0 | 24954 | 2.8571 | 0.0041 | 1.0 | 1.0 |
| 2.861 | 12.9998 | 27033 | 2.8568 | 0.0041 | 1.0 | 1.0 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.1.0+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Aug 18, 2024
- Updated
- Aug 18, 2024