Downloads · 30 days
5
19% of all-time downloads
whisper-a-nomimo-trial
susmitabhatt/whisper-a-nomimo-trial
whisper-a-nomimo-trial is a automatic speech recognition model from susmitabhatt. 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. --
All-time downloads
27
Public
Parameters
242M
19.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors967 MB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024
- SHA
- 16baaad0
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. -->
whisper-a-nomimo-trial
This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0304
- Wer: 18.6667
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: 0.0004
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use 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: 132
- num_epochs: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 1.139 | 1.0 | 104 | 0.2078 | 37.6667 |
| 0.1123 | 2.0 | 208 | 0.1434 | 40.0 |
| 0.0676 | 3.0 | 312 | 0.0929 | 32.3333 |
| 0.1027 | 4.0 | 416 | 0.1140 | 45.3333 |
| 0.0304 | 5.0 | 520 | 0.1683 | 44.0 |
| 0.0309 | 6.0 | 624 | 0.1440 | 41.0 |
| 0.0231 | 7.0 | 728 | 0.0904 | 36.3333 |
| 0.0184 | 8.0 | 832 | 0.0931 | 35.3333 |
| 0.0181 | 9.0 | 936 | 0.0715 | 30.6667 |
| 0.0118 | 10.0 | 1040 | 0.0890 | 35.6667 |
| 0.0095 | 11.0 | 1144 | 0.0414 | 21.0 |
| 0.0092 | 12.0 | 1248 | 0.0721 | 37.3333 |
| 0.0065 | 13.0 | 1352 | 0.0940 | 28.3333 |
| 0.0061 | 14.0 | 1456 | 0.0560 | 28.3333 |
| 0.0058 | 15.0 | 1560 | 0.0534 | 29.0000 |
| 0.004 | 16.0 | 1664 | 0.0375 | 20.0 |
| 0.0029 | 17.0 | 1768 | 0.0436 | 22.3333 |
| 0.0026 | 18.0 | 1872 | 0.0318 | 16.0 |
| 0.0021 | 19.0 | 1976 | 0.0319 | 19.6667 |
| 0.0015 | 19.8116 | 2060 | 0.0304 | 18.6667 |
Framework versions
- Transformers 4.47.0.dev0
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 22, 2024
- Updated
- Nov 22, 2024