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ssc-ttj-mms-model-initadapt-bl
ctaguchi/ssc-ttj-mms-model-initadapt-bl
ssc-ttj-mms-model-initadapt-bl 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 4, 2025
- Updated
- Dec 8, 2025
- SHA
- 80c7f3d3
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-ttj-mms-model-initadapt-bl
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: 0.1886
- Cer: 0.0713
- Wer: 0.3995
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: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- 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: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer | Wer |
|---|---|---|---|---|---|
| 0.3941 | 1.1114 | 200 | 0.2399 | 0.0845 | 0.4563 |
| 0.3327 | 2.2228 | 400 | 0.2173 | 0.0776 | 0.4271 |
| 0.3033 | 3.3343 | 600 | 0.2103 | 0.0771 | 0.4290 |
| 0.288 | 4.4457 | 800 | 0.2085 | 0.0751 | 0.4172 |
| 0.2646 | 5.5571 | 1000 | 0.1984 | 0.0740 | 0.4130 |
| 0.2616 | 6.6685 | 1200 | 0.1974 | 0.0726 | 0.4052 |
| 0.2385 | 7.7799 | 1400 | 0.1950 | 0.0737 | 0.4014 |
| 0.2265 | 8.8914 | 1600 | 0.1892 | 0.0715 | 0.4003 |
| 0.2392 | 10.0 | 1800 | 0.1886 | 0.0713 | 0.3995 |
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 4, 2025
- Updated
- Dec 8, 2025