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wav2vec2-large-mms-1b-aft-meh
robertp408/wav2vec2-large-mms-1b-aft-meh
wav2vec2-large-mms-1b-aft-meh 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
- Sep 29, 2025
- Updated
- Oct 7, 2025
- SHA
- 365ffcf1
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-meh
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: 0.5176
- Wer: 0.4064
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 |
|---|---|---|---|---|
| 29.4973 | 0.3195 | 100 | 3.4384 | 0.9990 |
| 1.4758 | 0.6390 | 200 | 0.6976 | 0.5184 |
| 1.7661 | 0.9585 | 300 | 0.6074 | 0.4742 |
| 0.9346 | 1.2780 | 400 | 0.5946 | 0.4596 |
| 0.6044 | 1.5974 | 500 | 0.5625 | 0.4750 |
| 0.7533 | 1.9169 | 600 | 0.5578 | 0.4500 |
| 0.7023 | 2.2364 | 700 | 0.5483 | 0.4298 |
| 0.4969 | 2.5559 | 800 | 0.5361 | 0.4193 |
| 0.5412 | 2.8754 | 900 | 0.5401 | 0.4236 |
| 0.5239 | 3.1949 | 1000 | 0.5485 | 0.4202 |
| 0.5133 | 3.5144 | 1100 | 0.5390 | 0.4164 |
| 0.4787 | 3.8339 | 1200 | 0.5371 | 0.4159 |
| 0.4596 | 4.1534 | 1300 | 0.5187 | 0.4050 |
| 0.4482 | 4.4728 | 1400 | 0.5175 | 0.4076 |
| 0.4293 | 4.7923 | 1500 | 0.5176 | 0.4064 |
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
- Sep 29, 2025
- Updated
- Oct 7, 2025