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Pathe-asr-RbData-fcb
NaSugu/Pathe-asr-RbData-fcb
Pathe-asr-RbData-fcb is a automatic speech recognition model from NaSugu. 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. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025
- SHA
- 5a458019
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. -->
Pathe-asr-RbData-fcb
This model is a fine-tuned version of openai/whisper-small on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.0005
- Wer: 0.0
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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- lr_scheduler_warmup_steps: 1000
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 4.4889 | 1.0 | 3 | 4.5425 | 100.0 |
| 2.3946 | 2.0 | 6 | 3.4017 | 100.0 |
| 0.9603 | 3.0 | 9 | 2.1974 | 100.0 |
| 0.2824 | 4.0 | 12 | 1.3106 | 100.0 |
| 0.0716 | 5.0 | 15 | 0.2906 | 100.0 |
| 0.0059 | 6.0 | 18 | 0.0091 | 0.0 |
| 0.0008 | 7.0 | 21 | 0.0015 | 0.0 |
| 0.0003 | 8.0 | 24 | 0.0009 | 0.0 |
| 0.0001 | 9.0 | 27 | 0.0016 | 0.0 |
| 0.0001 | 10.0 | 30 | 0.0030 | 0.0 |
| 0.0 | 11.0 | 33 | 0.0037 | 0.0 |
| 0.0 | 12.0 | 36 | 0.0042 | 0.0 |
| 0.0 | 13.0 | 39 | 0.0042 | 0.0 |
| 0.0 | 14.0 | 42 | 0.0039 | 0.0 |
| 0.0 | 15.0 | 45 | 0.0034 | 0.0 |
| 0.0 | 16.0 | 48 | 0.0029 | 0.0 |
| 0.0 | 17.0 | 51 | 0.0025 | 0.0 |
| 0.0 | 18.0 | 54 | 0.0022 | 0.0 |
| 0.0 | 19.0 | 57 | 0.0020 | 0.0 |
| 0.0 | 20.0 | 60 | 0.0016 | 0.0 |
| 0.0 | 21.0 | 63 | 0.0016 | 0.0 |
| 0.0 | 22.0 | 66 | 0.0014 | 0.0 |
| 0.0 | 23.0 | 69 | 0.0011 | 0.0 |
| 0.0 | 24.0 | 72 | 0.0012 | 0.0 |
| 0.0 | 25.0 | 75 | 0.0011 | 0.0 |
| 0.0 | 26.0 | 78 | 0.0010 | 0.0 |
| 0.0 | 27.0 | 81 | 0.0009 | 0.0 |
| 0.0 | 28.0 | 84 | 0.0009 | 0.0 |
| 0.0 | 29.0 | 87 | 0.0008 | 0.0 |
| 0.0 | 30.0 | 90 | 0.0008 | 0.0 |
| 0.0 | 31.0 | 93 | 0.0008 | 0.0 |
| 0.0 | 32.0 | 96 | 0.0008 | 0.0 |
| 0.0 | 33.0 | 99 | 0.0008 | 0.0 |
| 0.0 | 34.0 | 102 | 0.0007 | 0.0 |
| 0.0 | 35.0 | 105 | 0.0007 | 0.0 |
| 0.0 | 36.0 | 108 | 0.0007 | 0.0 |
| 0.0 | 37.0 | 111 | 0.0007 | 0.0 |
| 0.0 | 38.0 | 114 | 0.0006 | 0.0 |
| 0.0 | 39.0 | 117 | 0.0006 | 0.0 |
| 0.0 | 40.0 | 120 | 0.0007 | 0.0 |
| 0.0 | 41.0 | 123 | 0.0006 | 0.0 |
| 0.0 | 42.0 | 126 | 0.0006 | 0.0 |
| 0.0 | 43.0 | 129 | 0.0005 | 0.0 |
| 0.0 | 44.0 | 132 | 0.0006 | 0.0 |
| 0.0 | 45.0 | 135 | 0.0005 | 0.0 |
| 0.0 | 46.0 | 138 | 0.0005 | 0.0 |
| 0.0 | 47.0 | 141 | 0.0005 | 0.0 |
| 0.0 | 48.0 | 144 | 0.0005 | 0.0 |
| 0.0 | 49.0 | 147 | 0.0005 | 0.0 |
| 0.0 | 50.0 | 150 | 0.0005 | 0.0 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Mar 12, 2025
- Updated
- Mar 12, 2025