README.md

metadata

language:
  - km
license: mit
base_model: facebook/w2v-bert-2.0
tags:
  - automatic-speech-recognition
  - openslr
  - generated_from_trainer
datasets:
  - openslr
model-index:
  - name: training
    results: []

training

This model is a fine-tuned version of facebook/w2v-bert-2.0 on the openslr 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: 1e-05
• train_batch_size: 16
• eval_batch_size: 8
• seed: 42
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 15

Framework versions

• Transformers 4.42.4
• Pytorch 2.0.1
• Datasets 2.20.0
• Tokenizers 0.19.1