Downloads · 30 days
5
1% of all-time downloads
SSL-Harveen-Chadda-Fine-Tuning
rajat99/SSL-Harveen-Chadda-Fine-Tuning
SSL-Harveen-Chadda-Fine-Tuning is a automatic speech recognition model from rajat99. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
346
Public
Repo size
1.1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin378 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- mit
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 12, 2022
- Updated
- Apr 12, 2022
- SHA
- 37d5efec
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. -->
SSL-Harveen-Chadda-Fine-Tuning
This model is a fine-tuned version of Harveenchadha/vakyansh-wav2vec2-hindi-him-4200 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0032
- Wer: 0.1008
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: 0.0003
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.3793 | 4.17 | 400 | 0.5347 | 0.2584 |
| 0.2137 | 8.33 | 800 | 0.8339 | 0.2664 |
| 0.1282 | 12.5 | 1200 | 0.1785 | 0.1414 |
| 0.0698 | 16.66 | 1600 | 0.0135 | 0.1066 |
| 0.0354 | 20.83 | 2000 | 0.0351 | 0.1179 |
| 0.0212 | 24.99 | 2400 | 0.0104 | 0.1035 |
| 0.0066 | 29.17 | 2800 | 0.0032 | 0.1008 |
Framework versions
- Transformers 4.11.3
- Pytorch 1.10.0+cu111
- Datasets 1.18.3
- Tokenizers 0.10.3
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- mit
- Created
- Apr 12, 2022
- Updated
- Apr 12, 2022