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wav2vec2-large-mms-1b-aft-mmc
robertp408/wav2vec2-large-mms-1b-aft-mmc
wav2vec2-large-mms-1b-aft-mmc is a automatic speech recognition model from robertp408. 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
- Oct 7, 2025
- Updated
- Oct 10, 2025
- SHA
- 2d624a11
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. -->
wav2vec2-large-mms-1b-aft-mmc
This model is a fine-tuned version of facebook/mms-1b-all on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 1.3464
- Wer: 0.6981
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: 2
- eval_batch_size: 8
- seed: 42
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 13.1415 | 0.5263 | 100 | 9.0823 | 1.2933 |
| 3.968 | 1.0526 | 200 | 3.8510 | 0.9984 |
| 3.4887 | 1.5789 | 300 | 3.2492 | 0.9984 |
| 1.9099 | 2.1053 | 400 | 1.8789 | 0.7918 |
| 1.5364 | 2.6316 | 500 | 1.5877 | 0.7513 |
| 1.3236 | 3.1579 | 600 | 1.5096 | 0.7653 |
| 1.2527 | 3.6842 | 700 | 1.3780 | 0.7131 |
| 1.1843 | 4.2105 | 800 | 1.3713 | 0.7081 |
| 1.1542 | 4.7368 | 900 | 1.3464 | 0.6981 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1
- Task
- Automatic Speech Recognition
- Library
- transformers
- Type
- wav2vec2
- License
- cc-by-nc-4.0
- Created
- Oct 7, 2025
- Updated
- Oct 10, 2025