Wav2vec2 Base 10lang Ssl
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
Model source
- Kind
- Other
- File size
- 363 MB
- Base model
- facebook/wav2vec2-base
- Version
- vRevision eacd425
- Updated
- Sep 19, 2026
- Downloads
- 7
- Source
- Hugging Face
Source description
wav2vec2-base-10lang-ssl
This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.
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: 0.0003
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Use adamw_torch 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: 500
- num_epochs: 4
Training results
Framework versions
- Transformers 5.1.0
- Pytorch 2.7.1+cu118
- Datasets 2.21.0
- Tokenizers 0.22.2
Sources
1 source
Sources
1 sourceVerified Sep 19
Download files
Model artifacts
3 artifacts
Model artifacts
3 artifactscheckpoint-4000/model.safetensors
safetensors · 363 MB · SHA-256 1492f788e41c…21ec · Hugging Face
Download filecheckpoint-4144/model.safetensors
safetensors · 363 MB · SHA-256 a589334a9a84…14dd · Hugging Face
Download fileSource excerpts
2 excerpts
Source excerpts
2 excerpts--- library_name: transformers license: apache-2.0 base_model: facebook/wav2vec2-base tags: - generated_from_trainer model-index: - name: wav2vec2-base-10lang-ssl results: [] datasets: - 27Group/shared_task language: - ar - de - en - es - id - ja - pt - ru - ur - vi metrics: - wer - f1 pipeline_tag: audio-classification --- <!-- 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-base-10lang-ssl This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on the None dataset. ## 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: 0.0003 - train_batch_size: 32 - eval_batch_size: 32 - seed: 42 - gradient_accumulation_steps: 2 - total_train_batch_size: 64 - optimizer: Use adamw_torch 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: 500 - num_epochs: 4 ### Training results ### Framework versions - Transformers 5.1.0 - Pytorch 2.7.1+cu118 - Datasets 2.21.0 - Tokenizers 0.22.2
Source context: 7 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo huyisme-005/wav2vec2-base-10lang-ssl
