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wav2vec2-E10_freq_speed_pause
Gummybear05/wav2vec2-E10_freq_speed_pause
wav2vec2-E10_freq_speed_pause is a automatic speech recognition model from Gummybear05. 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
- Oct 17, 2024
- Updated
- Oct 17, 2024
- SHA
- 78aec05a
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-E10_freq_speed_pause
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.1732
- Cer: 46.9807
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: 50
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 34.0782 | 0.1289 | 200 | 5.1516 | 100.0 |
| 5.0781 | 0.2579 | 400 | 4.7666 | 100.0 |
| 4.9696 | 0.3868 | 600 | 4.6840 | 100.0 |
| 4.906 | 0.5158 | 800 | 4.6904 | 100.0 |
| 4.7963 | 0.6447 | 1000 | 4.6462 | 100.0 |
| 4.7565 | 0.7737 | 1200 | 4.6231 | 100.0 |
| 4.7372 | 0.9026 | 1400 | 4.5947 | 100.0 |
| 4.6765 | 1.0316 | 1600 | 4.5636 | 100.0 |
| 4.6162 | 1.1605 | 1800 | 4.5811 | 99.9354 |
| 4.4587 | 1.2895 | 2000 | 4.4613 | 96.3346 |
| 4.1506 | 1.4184 | 2200 | 4.2476 | 95.7766 |
| 3.8599 | 1.5474 | 2400 | 3.8368 | 73.1262 |
| 3.34 | 1.6763 | 2600 | 3.3885 | 64.8085 |
| 3.1038 | 1.8053 | 2800 | 3.1215 | 61.0491 |
| 2.9058 | 1.9342 | 3000 | 2.9318 | 58.3705 |
| 2.7231 | 2.0632 | 3200 | 2.7934 | 57.7244 |
| 2.5775 | 2.1921 | 3400 | 2.6023 | 53.1661 |
| 2.4413 | 2.3211 | 3600 | 2.5756 | 54.5759 |
| 2.3662 | 2.4500 | 3800 | 2.3468 | 50.9810 |
| 2.2503 | 2.5790 | 4000 | 2.2820 | 49.2892 |
| 2.231 | 2.7079 | 4200 | 2.2980 | 49.1483 |
| 2.1522 | 2.8369 | 4400 | 2.1792 | 47.4389 |
| 2.1532 | 2.9658 | 4600 | 2.1732 | 46.9807 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Oct 17, 2024
- Updated
- Oct 17, 2024