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Wav2vec2 Base 10lang Ssl

This model is a fine-tuned version of facebook/wav2vec2-base on the None dataset.

KindOtherBase modelfacebook/wav2vec2-baseVersionRevision eacd425

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
Hugging FacePrimaryVersion eacd4251c2e3c2200be74e2b27f501e66a0cb86a
huggingface.co/huyisme-005/wav2vec2-base-10lang-ssl/tree/eacd4251c2e3c2200be74e2b27f501e66a0cb86a

Verified Sep 19

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Model artifacts

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checkpoint-4000/model.safetensors

safetensors · 363 MB · SHA-256 1492f788e41c…21ec · Hugging Face

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checkpoint-4144/model.safetensors

safetensors · 363 MB · SHA-256 a589334a9a84…14dd · Hugging Face

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model.safetensors

safetensors · 363 MB · SHA-256 a589334a9a84…14dd · Hugging Face

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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