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kbd-1s-data
MatricariaV/kbd-1s-data
kbd-1s-data is a automatic speech recognition model from MatricariaV. Use it when you need speech turned into text. It is set up for transformers. The card lists the license as cc-by-nc-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Automatic Speech Recognition
- Library
- transformers
- License
- cc-by-nc-4.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025
- SHA
- f64ea2fd
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. -->
kbd-1s-data
This model is a fine-tuned version of facebook/mms-1b-all on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1139
- Wer: 0.2315
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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: 100
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 2.6853 | 0.25 | 400 | 0.2931 | 0.4680 |
| 0.7427 | 0.5 | 800 | 0.2290 | 0.3743 |
| 0.6983 | 0.75 | 1200 | 0.1836 | 0.3390 |
| 0.6328 | 1.0 | 1600 | 0.1743 | 0.3172 |
| 0.61 | 1.25 | 2000 | 0.1607 | 0.2915 |
| 0.5941 | 1.5 | 2400 | 0.1536 | 0.2996 |
| 0.545 | 1.75 | 2800 | 0.1470 | 0.2787 |
| 0.5534 | 2.0 | 3200 | 0.1513 | 0.2754 |
| 0.5245 | 2.25 | 3600 | 0.1409 | 0.2661 |
| 0.5206 | 2.5 | 4000 | 0.1386 | 0.2676 |
| 0.505 | 2.75 | 4400 | 0.1313 | 0.2545 |
| 0.4647 | 3.0 | 4800 | 0.1249 | 0.2398 |
| 0.4754 | 3.25 | 5200 | 0.1225 | 0.2395 |
| 0.4508 | 3.5 | 5600 | 0.1194 | 0.2369 |
| 0.4629 | 3.75 | 6000 | 0.1152 | 0.2282 |
| 0.4443 | 4.0 | 6400 | 0.1139 | 0.2315 |
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
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Feb 26, 2025
- Updated
- Feb 26, 2025