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ssc-ush-mms-model-mix-adapt-max-lowlr
ctaguchi/ssc-ush-mms-model-mix-adapt-max-lowlr
ssc-ush-mms-model-mix-adapt-max-lowlr is a automatic speech recognition model from ctaguchi. 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
- Dec 6, 2025
- Updated
- Dec 6, 2025
- SHA
- a9978fa7
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. -->
ssc-ush-mms-model-mix-adapt-max-lowlr
This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7505
- Cer: 0.6135
- Wer: 0.9685
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: 8
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 2.0262 | 3.2810 | 200 | 1.4097 | 0.1814 | 0.6275 |
| 1.5492 | 6.5620 | 400 | 1.3460 | 0.1539 | 0.5110 |
| 1.3294 | 9.8430 | 600 | 1.2562 | 0.1477 | 0.4753 |
| 1.0855 | 13.1157 | 800 | 1.2973 | 0.1402 | 0.4680 |
| 1.219 | 16.3967 | 1000 | 1.2326 | 0.1508 | 0.4995 |
| 1.5589 | 19.6777 | 1200 | 1.9629 | 0.7455 | 0.9811 |
| 2.3588 | 22.9587 | 1400 | 2.3892 | 0.3612 | 0.8279 |
| 2.3287 | 26.2314 | 1600 | 1.8747 | 0.4748 | 0.9423 |
| 1.9794 | 29.5124 | 1800 | 1.7505 | 0.6135 | 0.9685 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.22.0
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Dec 6, 2025
- Updated
- Dec 6, 2025