metadata
library_name: transformers
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
datasets:
- superb/ks
model-index:
- name: wav2vec2-base-finetuned-ks
results: []
wav2vec2-base-finetuned-ks
This model is a fine-tuned version of facebook/wav2vec2-base on the SUPERB Keyword Spotting 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: 0.0002
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- distributed_type: tpu
- 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
- training_steps: 3000
Training results
Framework versions
- Transformers 4.57.6
- Pytorch 2.9.0+cpu
- Datasets 4.5.0
- Tokenizers 0.22.2