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wav2vec2-E30_freq_speed_pause2
Gummybear05/wav2vec2-E30_freq_speed_pause2
wav2vec2-E30_freq_speed_pause2 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
- Nov 22, 2024
- Updated
- Nov 22, 2024
- SHA
- ac80fa07
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-E30_freq_speed_pause2
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: 1.4385
- Cer: 30.1116
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|
| 31.4976 | 0.1289 | 200 | 5.0615 | 100.0 |
| 4.9534 | 0.2579 | 400 | 4.6738 | 100.0 |
| 4.8189 | 0.3868 | 600 | 4.6468 | 100.0 |
| 4.7696 | 0.5158 | 800 | 4.5988 | 100.0 |
| 4.6915 | 0.6447 | 1000 | 4.5676 | 100.0 |
| 4.66 | 0.7737 | 1200 | 4.5294 | 97.9260 |
| 4.6295 | 0.9026 | 1400 | 4.5050 | 97.9201 |
| 4.5468 | 1.0316 | 1600 | 4.4362 | 97.9377 |
| 4.4058 | 1.1605 | 1800 | 4.3229 | 96.0928 |
| 4.0025 | 1.2895 | 2000 | 3.8060 | 82.1093 |
| 3.3806 | 1.4184 | 2200 | 3.2988 | 62.4442 |
| 2.9142 | 1.5474 | 2400 | 2.9776 | 55.4054 |
| 2.5748 | 1.6763 | 2600 | 2.4457 | 47.4207 |
| 2.3231 | 1.8053 | 2800 | 2.2643 | 44.4360 |
| 2.1253 | 1.9342 | 3000 | 2.0188 | 39.4536 |
| 1.9269 | 2.0632 | 3200 | 1.8784 | 37.6439 |
| 1.7746 | 2.1921 | 3400 | 1.7279 | 35.2879 |
| 1.6518 | 2.3211 | 3600 | 1.6686 | 33.9953 |
| 1.5782 | 2.4500 | 3800 | 1.6163 | 32.7203 |
| 1.5226 | 2.5790 | 4000 | 1.5312 | 31.2162 |
| 1.472 | 2.7079 | 4200 | 1.4718 | 30.2585 |
| 1.3968 | 2.8369 | 4400 | 1.4688 | 30.5934 |
| 1.3675 | 2.9658 | 4600 | 1.4385 | 30.1116 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024