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ssc-ady-mms-model-mix-adapt-max2
ctaguchi/ssc-ady-mms-model-mix-adapt-max2
ssc-ady-mms-model-mix-adapt-max2 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 8, 2025
- Updated
- Dec 8, 2025
- SHA
- 977aaa3c
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-ady-mms-model-mix-adapt-max2
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: 1.5688
- Cer: 0.3115
- Wer: 1.0067
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: 12
- eval_batch_size: 12
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 24
- 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: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.6939 | 0.4132 | 200 | 0.5240 | 0.1948 | 0.8809 |
| 0.5164 | 0.8264 | 400 | 0.4230 | 0.1689 | 0.8082 |
| 0.4719 | 1.2397 | 600 | 0.3680 | 0.1512 | 0.7403 |
| 0.4443 | 1.6529 | 800 | 0.3637 | 0.1481 | 0.7297 |
| 0.4258 | 2.0661 | 1000 | 0.3406 | 0.1422 | 0.6982 |
| 0.4051 | 2.4793 | 1200 | 0.3356 | 0.1420 | 0.7092 |
| 0.3987 | 2.8926 | 1400 | 0.3173 | 0.1385 | 0.6826 |
| 0.3807 | 3.3058 | 1600 | 0.3281 | 0.1395 | 0.6910 |
| 0.3725 | 3.7190 | 1800 | 0.3255 | 0.1399 | 0.6867 |
| 0.3896 | 4.1322 | 2000 | 0.3136 | 0.1370 | 0.6771 |
| 0.3729 | 4.5455 | 2200 | 0.3116 | 0.1338 | 0.6642 |
| 0.3729 | 4.9587 | 2400 | 0.3186 | 0.1360 | 0.6683 |
| 0.3557 | 5.3719 | 2600 | 0.3153 | 0.1379 | 0.6728 |
| 0.3763 | 5.7851 | 2800 | 0.3302 | 0.1393 | 0.6819 |
| 0.3988 | 6.1983 | 3000 | 0.3593 | 0.1407 | 0.7120 |
| 0.4476 | 6.6116 | 3200 | 0.3716 | 0.1467 | 0.7161 |
| 0.457 | 7.0248 | 3400 | 0.3781 | 0.1428 | 0.7013 |
| 0.4784 | 7.4380 | 3600 | 0.4148 | 0.1444 | 0.7197 |
| 0.7014 | 7.8512 | 3800 | 0.5790 | 0.1576 | 0.7525 |
| 1.2074 | 8.2645 | 4000 | 1.2445 | 0.2668 | 0.9548 |
| 1.679 | 8.6777 | 4200 | 1.5282 | 0.4731 | 1.0718 |
| 1.7237 | 9.0909 | 4400 | 1.4973 | 0.4396 | 1.0677 |
| 1.6836 | 9.5041 | 4600 | 1.4758 | 0.3751 | 1.0416 |
| 1.7748 | 9.9174 | 4800 | 1.5688 | 0.3115 | 1.0067 |
Framework versions
- Transformers 4.52.1
- Pytorch 2.9.1+cu128
- Datasets 3.6.0
- Tokenizers 0.21.4
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025