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model_weight_1
AnhDuc2507/model_weight_1
model_weight_1 is a automatic speech recognition model from AnhDuc2507. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- May 10, 2024
- Updated
- May 11, 2024
- SHA
- e719bf65
Base models
Datasets
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. -->
model_weight_1
This model is a fine-tuned version of nguyenvulebinh/wav2vec2-base-vietnamese-250h on the common_voice_11_0 dataset. It achieves the following results on the evaluation set:
- Loss: 0.1739
- Wer: 0.1265
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: 32
- 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: 1000
- num_epochs: 40
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 14.4773 | 1.3928 | 500 | 5.1397 | 1.0002 |
| 4.442 | 2.7855 | 1000 | 5.1727 | 1.0 |
| 3.9171 | 4.1783 | 1500 | 3.4650 | 0.9913 |
| 3.2597 | 5.5710 | 2000 | 2.1658 | 0.8943 |
| 2.5676 | 6.9638 | 2500 | 1.4240 | 0.7346 |
| 2.0229 | 8.3565 | 3000 | 0.9604 | 0.5685 |
| 1.6744 | 9.7493 | 3500 | 0.9651 | 0.4661 |
| 1.4788 | 11.1421 | 4000 | 0.7943 | 0.4500 |
| 1.3045 | 12.5348 | 4500 | 0.6500 | 0.3282 |
| 1.3199 | 13.9276 | 5000 | 0.4307 | 0.3130 |
| 1.1017 | 15.3203 | 5500 | 0.7321 | 0.2742 |
| 1.0042 | 16.7131 | 6000 | 0.9041 | 0.2408 |
| 1.0219 | 18.1058 | 6500 | 0.6662 | 0.2374 |
| 0.9303 | 19.4986 | 7000 | 0.7430 | 0.2171 |
| 0.8425 | 20.8914 | 7500 | 1.5198 | 0.1954 |
| 0.8409 | 22.2841 | 8000 | 0.6491 | 0.1982 |
| 0.881 | 23.6769 | 8500 | 0.6060 | 0.1734 |
| 0.8061 | 25.0696 | 9000 | 0.4495 | 0.1607 |
| 0.7404 | 26.4624 | 9500 | 0.6027 | 0.1630 |
| 0.713 | 27.8552 | 10000 | 0.5014 | 0.1542 |
| 0.7678 | 29.2479 | 10500 | 0.2076 | 0.1491 |
| 0.7059 | 30.6407 | 11000 | 0.2030 | 0.1497 |
| 0.6873 | 32.0334 | 11500 | 0.5304 | 0.1390 |
| 0.6471 | 33.4262 | 12000 | 0.4658 | 0.1378 |
| 0.6007 | 34.8189 | 12500 | 0.1836 | 0.1365 |
| 0.6758 | 36.2117 | 13000 | 0.1798 | 0.1314 |
| 0.6231 | 37.6045 | 13500 | 0.1793 | 0.1312 |
| 0.6034 | 38.9972 | 14000 | 0.1739 | 0.1265 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- May 10, 2024
- Updated
- May 11, 2024