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ASR-model-20k-04
Hung1294/ASR-model-20k-04
ASR-model-20k-04 is a automatic speech recognition model from Hung1294. 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
- May 18, 2025
- Updated
- May 18, 2025
- SHA
- 20a32f37
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. -->
ASR-model-20k-04
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5806
- Wer: 0.2835
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.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: 1000
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 5.6676 | 0.4398 | 500 | 3.3943 | 0.9999 |
| 3.3831 | 0.8795 | 1000 | inf | 0.9999 |
| 2.1618 | 1.3193 | 1500 | inf | 0.7336 |
| 1.3088 | 1.7590 | 2000 | inf | 0.5458 |
| 1.0799 | 2.1988 | 2500 | 0.8348 | 0.4859 |
| 0.9799 | 2.6385 | 3000 | 0.7635 | 0.4380 |
| 0.915 | 3.0783 | 3500 | inf | 0.4093 |
| 0.8476 | 3.5180 | 4000 | 0.7075 | 0.3845 |
| 0.8279 | 3.9578 | 4500 | inf | 0.3703 |
| 0.785 | 4.3975 | 5000 | 0.6689 | 0.3606 |
| 0.7549 | 4.8373 | 5500 | 0.6480 | 0.3461 |
| 0.7082 | 5.2770 | 6000 | 0.6163 | 0.3336 |
| 0.7017 | 5.7168 | 6500 | 0.6111 | 0.3276 |
| 0.6665 | 6.1566 | 7000 | 0.6250 | 0.3203 |
| 0.6561 | 6.5963 | 7500 | 0.6099 | 0.3120 |
| 0.651 | 7.0361 | 8000 | 0.6173 | 0.3079 |
| 0.6202 | 7.4758 | 8500 | inf | 0.3045 |
| 0.6114 | 7.9156 | 9000 | inf | 0.3001 |
| 0.5949 | 8.3553 | 9500 | 0.5861 | 0.2961 |
| 0.5933 | 8.7951 | 10000 | inf | 0.2948 |
| 0.5757 | 9.2348 | 10500 | 0.5854 | 0.2923 |
| 0.5632 | 9.6746 | 11000 | inf | 0.2921 |
| 0.5504 | 10.1143 | 11500 | inf | 0.2891 |
| 0.544 | 10.5541 | 12000 | inf | 0.2874 |
| 0.544 | 10.9938 | 12500 | inf | 0.2844 |
| 0.5323 | 11.4336 | 13000 | inf | 0.2841 |
| 0.5331 | 11.8734 | 13500 | 0.5806 | 0.2835 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- May 18, 2025
- Updated
- May 18, 2025