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final-project
sudheer997/final-project
final-project is a automatic speech recognition model from sudheer997. Use it when you need speech turned into text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- May 13, 2023
- Updated
- May 13, 2023
- SHA
- 7f1807d7
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. -->
uaspeech-foundation-fintuned
- Loss: 2.5324
- Wer: 1.2855
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: 4
- 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: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 41.2984 | 0.7 | 500 | 2.8954 | 1.0 |
| 3.0227 | 1.4 | 1000 | 2.8232 | 1.0042 |
| 2.8283 | 2.11 | 1500 | 2.6291 | 1.0309 |
| 2.5552 | 2.81 | 2000 | 2.2593 | 1.9170 |
| 2.1714 | 3.51 | 2500 | 1.9586 | 1.9142 |
| 1.8537 | 4.21 | 3000 | 1.5725 | 1.8579 |
| 1.6087 | 4.92 | 3500 | 1.2772 | 1.7426 |
| 1.3108 | 5.62 | 4000 | 1.2792 | 1.6751 |
| 1.1652 | 6.32 | 4500 | 1.4565 | 1.6174 |
| 1.0113 | 7.02 | 5000 | 1.1906 | 1.5626 |
| 0.925 | 7.72 | 5500 | 1.4491 | 1.5260 |
| 0.8183 | 8.43 | 6000 | 1.3712 | 1.5387 |
| 0.7118 | 9.13 | 6500 | 1.4713 | 1.4866 |
| 0.6959 | 9.83 | 7000 | 1.3336 | 1.4318 |
| 0.6146 | 10.53 | 7500 | 1.3690 | 1.4177 |
| 0.5655 | 11.24 | 8000 | 1.3789 | 1.4135 |
| 0.4969 | 11.94 | 8500 | 1.5476 | 1.3966 |
| 0.4705 | 12.64 | 9000 | 1.9062 | 1.3797 |
| 0.4387 | 13.34 | 9500 | 1.2711 | 1.3924 |
| 0.4115 | 14.04 | 10000 | 1.6318 | 1.3769 |
| 0.3695 | 14.75 | 10500 | 1.5119 | 1.3755 |
| 0.377 | 15.45 | 11000 | 1.6637 | 1.3812 |
| 0.3788 | 16.15 | 11500 | 1.6636 | 1.3699 |
| 0.3396 | 16.85 | 12000 | 1.6572 | 1.3418 |
| 0.3047 | 17.56 | 12500 | 1.4740 | 1.3361 |
| 0.2804 | 18.26 | 13000 | 2.0885 | 1.3249 |
| 0.2995 | 18.96 | 13500 | 1.9536 | 1.3235 |
| 0.2628 | 19.66 | 14000 | 1.7736 | 1.3179 |
| 0.2703 | 20.37 | 14500 | 2.0018 | 1.3291 |
| 0.2335 | 21.07 | 15000 | 1.7962 | 1.3221 |
| 0.2068 | 21.77 | 15500 | 2.3187 | 1.3136 |
| 0.2311 | 22.47 | 16000 | 2.4853 | 1.3291 |
| 0.2491 | 23.17 | 16500 | 2.1901 | 1.3024 |
| 0.1836 | 23.88 | 17000 | 2.4344 | 1.2911 |
| 0.1823 | 24.58 | 17500 | 2.3705 | 1.3066 |
| 0.1575 | 25.28 | 18000 | 2.1864 | 1.2897 |
| 0.1451 | 25.98 | 18500 | 2.4216 | 1.2883 |
| 0.1502 | 26.69 | 19000 | 2.1780 | 1.2855 |
| 0.1392 | 27.39 | 19500 | 2.4009 | 1.2925 |
| 0.1609 | 28.09 | 20000 | 2.4250 | 1.2982 |
| 0.1066 | 28.79 | 20500 | 2.4433 | 1.2897 |
| 0.1514 | 29.49 | 21000 | 2.5063 | 1.2855 |
Framework versions
- Transformers 4.23.1
- Pytorch 1.12.1+cu113
- Datasets 1.18.3
- Tokenizers 0.13.2
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- Created
- May 13, 2023
- Updated
- May 13, 2023