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wav2vec2-1b-E10_freq_pause_speed
Gummybear05/wav2vec2-1b-E10_freq_pause_speed
wav2vec2-1b-E10_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
- b4b37471
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-E10_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: 1.0591
- Cer: 29.8990
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 |
|---|---|---|---|---|
| 14.1255 | 0.2580 | 200 | 4.9067 | 98.6372 |
| 4.7267 | 0.5160 | 400 | 4.8958 | 92.8806 |
| 4.5507 | 0.7741 | 600 | 4.7162 | 92.6281 |
| 4.3966 | 1.0321 | 800 | 4.4020 | 92.5928 |
| 3.6541 | 1.2901 | 1000 | 2.9100 | 59.9918 |
| 1.9909 | 1.5481 | 1200 | 2.1571 | 52.5200 |
| 1.4189 | 1.8062 | 1400 | 1.6267 | 39.1506 |
| 1.1011 | 2.0642 | 1600 | 1.6680 | 44.1259 |
| 0.8993 | 2.3222 | 1800 | 1.6389 | 43.5562 |
| 0.8212 | 2.5802 | 2000 | 1.6651 | 42.0054 |
| 0.7402 | 2.8383 | 2200 | 1.3370 | 37.4413 |
| 0.671 | 3.0963 | 2400 | 1.2070 | 34.4690 |
| 0.551 | 3.3543 | 2600 | 1.2536 | 35.7554 |
| 0.4977 | 3.6123 | 2800 | 1.1724 | 33.1062 |
| 0.4612 | 3.8703 | 3000 | 1.0322 | 29.5700 |
| 0.4048 | 4.1284 | 3200 | 1.0640 | 30.6156 |
| 0.3543 | 4.3864 | 3400 | 1.1424 | 30.9974 |
| 0.3354 | 4.6444 | 3600 | 1.0794 | 29.9577 |
| 0.3099 | 4.9024 | 3800 | 1.0591 | 29.8990 |
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