metadata
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- common_voice_6_1
model-index:
- name: wav2vec2-large-mms-1b-zh-colab
results: []
wav2vec2-large-mms-1b-zh-colab
This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_6_1 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: 0.001
- train_batch_size: 32
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 4
Framework versions
- Transformers 4.31.0.dev0
- Pytorch 2.1.0.dev20230711
- Datasets 2.13.1
- Tokenizers 0.13.3