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wav2vec2-large-xls-r-300m-dm32
michelananou/wav2vec2-large-xls-r-300m-dm32
wav2vec2-large-xls-r-300m-dm32 is a machine learning model from michelananou. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 23, 2026
- Updated
- Apr 24, 2026
- SHA
- 32abbbbf
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. -->
wav2vec2-large-xls-r-300m-dm32
This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4929
- Accuracy: 0.7647
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- 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
- num_epochs: 22
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 2.64 | 34 | 0.6751 | 0.5882 |
| No log | 5.24 | 68 | 0.6734 | 0.5882 |
| No log | 7.88 | 102 | 0.6772 | 0.5882 |
| 0.6956 | 10.48 | 136 | 0.6651 | 0.5882 |
| 0.6956 | 13.08 | 170 | 0.9430 | 0.4118 |
| 0.6956 | 15.72 | 204 | 0.6126 | 0.5882 |
| 0.6543 | 18.32 | 238 | 0.5043 | 0.7941 |
| 0.6543 | 20.96 | 272 | 0.4929 | 0.7647 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 23, 2026
- Updated
- Apr 24, 2026