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wav2vec2-1b-E50_freq_pause_speed
Gummybear05/wav2vec2-1b-E50_freq_pause_speed
wav2vec2-1b-E50_freq_pause_speed 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
- Dec 3, 2024
- Updated
- Dec 3, 2024
- SHA
- 61f77ef3
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. -->
wav2vec2-1b-E50_freq_pause_speed
This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.9857
- Cer: 25.4112
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: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 19.722 | 0.2580 | 200 | 10.6272 | 92.3226 |
| 9.1071 | 0.5160 | 400 | 4.8280 | 97.6034 |
| 4.6864 | 0.7741 | 600 | 5.1023 | 93.8381 |
| 4.894 | 1.0321 | 800 | 4.4428 | 92.8983 |
| 4.5268 | 1.2901 | 1000 | 4.4166 | 92.9864 |
| 4.4975 | 1.5481 | 1200 | 4.3971 | 92.8160 |
| 4.3905 | 1.8062 | 1400 | 4.2999 | 92.3931 |
| 4.0944 | 2.0642 | 1600 | 4.0658 | 89.2505 |
| 3.4243 | 2.3222 | 1800 | 3.5627 | 74.0073 |
| 2.5159 | 2.5802 | 2000 | 2.6364 | 54.6346 |
| 1.9341 | 2.8383 | 2200 | 2.1328 | 45.0070 |
| 1.4936 | 3.0963 | 2400 | 1.7956 | 41.7939 |
| 1.1786 | 3.3543 | 2600 | 1.4282 | 34.3163 |
| 1.0121 | 3.6123 | 2800 | 1.2753 | 30.2162 |
| 0.9051 | 3.8703 | 3000 | 1.2181 | 30.0164 |
| 0.7404 | 4.1284 | 3200 | 1.1032 | 29.0061 |
| 0.6383 | 4.3864 | 3400 | 1.0560 | 24.8884 |
| 0.609 | 4.6444 | 3600 | 0.9713 | 24.7063 |
| 0.5477 | 4.9024 | 3800 | 0.9857 | 25.4112 |
Framework versions
- Transformers 4.45.2
- Pytorch 2.3.1.post100
- Datasets 2.19.1
- Tokenizers 0.20.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Dec 3, 2024
- Updated
- Dec 3, 2024