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: 0.6844 Accuracy: 0.5833
Model source
- Kind
- Other
- File size
- 1.18 GB
- Base model
- facebook/wav2vec2-xls-r-300m
- Version
- vRevision f0bf975
- Updated
- Sep 13, 2026
- Downloads
- 2
- Source
- Hugging Face
Source description
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: 0.6844
- Accuracy: 0.5833
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 | 2.2759 | 34 | 0.6806 | 0.5833 |
| No log | 4.5517 | 68 | 0.6810 | 0.5833 |
| No log | 6.8276 | 102 | 0.6862 | 0.5833 |
| 1.3457 | 9.0690 | 136 | 0.6866 | 0.5833 |
| 1.3457 | 11.3448 | 170 | 0.6806 | 0.5833 |
| 1.3457 | 13.6207 | 204 | 0.6851 | 0.5833 |
| 1.3406 | 15.8966 | 238 | 0.6895 | 0.5833 |
| 1.3406 | 18.1379 | 272 | 0.6859 | 0.5833 |
| 1.3406 | 20.4138 | 306 | 0.6844 | 0.5833 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVerified Sep 13
Model artifacts
1 artifact
Model artifacts
1 artifactSource excerpts
2 excerpts
Source excerpts
2 excerpts--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-xls-r-300m tags: - generated_from_trainer metrics: - accuracy model-index: - name: wav2vec2-large-xls-r-300m-dm32 results: [] --- <!-- 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](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6844 - Accuracy: 0.5833 ## 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 | 2.2759 | 34 | 0.6806 | 0.5833 | | No log | 4.5517 | 68 | 0.6810 | 0.5833 | | No log | 6.8276 | 102 | 0.6862 | 0.5833 | | 1.3457 | 9.0690 | 136 | 0.6866 | 0.5833 | | 1.3457 | 11.3448 | 170 | 0.6806 | 0.5833 | | 1.3457 | 13.6207 | 204 | 0.6851 | 0.5833 | | 1.3406 | 15.8966 | 238 | 0.6895 | 0.5833 | | 1.3406 | 18.1379 | 272 | 0.6859 | 0.5833 | | 1.3406 | 20.4138 | 306 | 0.6844 | 0.5833 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.10.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2
Source context: 2 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo cblanco5/wav2vec2-large-xls-r-300m-dm32
