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wav2vec2-Y_freq_pause
Gummybear05/wav2vec2-Y_freq_pause
wav2vec2-Y_freq_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 11, 2024
- Updated
- Oct 11, 2024
- SHA
- 2db20d40
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-Y_freq_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: 1.7447
- Cer: 46.9631
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 |
|---|---|---|---|---|
| 28.6915 | 0.1289 | 200 | 4.9918 | 100.0 |
| 5.0255 | 0.2579 | 400 | 4.8286 | 100.0 |
| 4.8358 | 0.3868 | 600 | 4.6548 | 97.9676 |
| 4.7889 | 0.5158 | 800 | 4.6381 | 97.5681 |
| 4.687 | 0.6447 | 1000 | 4.5950 | 97.8560 |
| 4.5903 | 0.7737 | 1200 | 4.7109 | 96.0644 |
| 4.1984 | 0.9026 | 1400 | 4.4163 | 82.1546 |
| 3.4094 | 1.0316 | 1600 | 3.5488 | 77.3849 |
| 2.8656 | 1.1605 | 1800 | 3.2281 | 69.0202 |
| 2.5394 | 1.2895 | 2000 | 2.7503 | 63.1696 |
| 2.2135 | 1.4184 | 2200 | 2.6424 | 61.4603 |
| 2.0227 | 1.5474 | 2400 | 2.3955 | 57.3778 |
| 1.8118 | 1.6763 | 2600 | 2.2714 | 56.1913 |
| 1.7151 | 1.8053 | 2800 | 2.1585 | 52.1029 |
| 1.542 | 1.9342 | 3000 | 2.0588 | 51.3452 |
| 1.4724 | 2.0632 | 3200 | 1.9186 | 48.5667 |
| 1.3402 | 2.1921 | 3400 | 1.9230 | 50.2350 |
| 1.2483 | 2.3211 | 3600 | 1.8984 | 50.1997 |
| 1.2145 | 2.4500 | 3800 | 1.8578 | 48.7430 |
| 1.1362 | 2.5790 | 4000 | 1.7875 | 47.4800 |
| 1.1212 | 2.7079 | 4200 | 1.7618 | 47.7679 |
| 1.0894 | 2.8369 | 4400 | 1.7662 | 47.4977 |
| 1.0907 | 2.9658 | 4600 | 1.7447 | 46.9631 |
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 11, 2024
- Updated
- Oct 11, 2024