Downloads · 30 days
16
35% of all-time downloads
whisper_aii_clp
susmitabhatt/whisper_aii_clp
whisper_aii_clp 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
46
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
- Mar 8, 2025
- Updated
- Mar 8, 2025
- SHA
- b1018c25
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_aii_clp
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: 0.0177
- Wer: 16.1426
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 |
|---|---|---|---|---|
| No log | 1.0 | 40 | 0.1406 | 27.2537 |
| No log | 2.0 | 80 | 0.3498 | 99.7904 |
| 1.105 | 3.0 | 120 | 0.2394 | 41.7191 |
| 1.105 | 4.0 | 160 | 0.2428 | 44.4444 |
| 0.1638 | 5.0 | 200 | 0.2523 | 52.8302 |
| 0.1638 | 6.0 | 240 | 0.1421 | 55.9748 |
| 0.1638 | 7.0 | 280 | 0.0707 | 33.7526 |
| 0.0797 | 8.0 | 320 | 0.0827 | 38.7841 |
| 0.0797 | 9.0 | 360 | 0.0417 | 14.8847 |
| 0.0379 | 10.0 | 400 | 0.0549 | 20.3354 |
| 0.0379 | 11.0 | 440 | 0.0750 | 28.9308 |
| 0.0379 | 12.0 | 480 | 0.0367 | 21.8029 |
| 0.0226 | 13.0 | 520 | 0.0358 | 18.2390 |
| 0.0226 | 14.0 | 560 | 0.0292 | 20.1258 |
| 0.0143 | 15.0 | 600 | 0.0192 | 22.0126 |
| 0.0143 | 16.0 | 640 | 0.0199 | 20.9644 |
| 0.0143 | 17.0 | 680 | 0.0198 | 20.5451 |
| 0.0072 | 18.0 | 720 | 0.0176 | 17.6101 |
| 0.0072 | 19.0 | 760 | 0.0175 | 16.7715 |
| 0.0072 | 19.5063 | 780 | 0.0177 | 16.1426 |
Framework versions
- Transformers 4.50.0.dev0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 8, 2025
- Updated
- Mar 8, 2025