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wav2vec2-large-xls-r-300m-dm32
ModelProject/wav2vec2-large-xls-r-300m-dm32
wav2vec2-large-xls-r-300m-dm32 is a machine learning model from ModelProject. 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
- Feb 12, 2025
- Updated
- Mar 11, 2025
- SHA
- 3c88c7e8
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: 0.3919
- Accuracy: 0.7292
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- 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
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 2.2807 | 34 | 0.4004 | 0.8125 |
| No log | 4.5614 | 68 | 0.4070 | 0.7917 |
| No log | 6.8421 | 102 | 0.4361 | 0.8125 |
| 0.4314 | 9.0702 | 136 | 0.3890 | 0.7917 |
| 0.4314 | 11.3509 | 170 | 0.4078 | 0.8125 |
| 0.4314 | 13.6316 | 204 | 0.3919 | 0.7292 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 12, 2025
- Updated
- Mar 11, 2025