metadata

license: apache-2.0
base_model: AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw
tags:
  - generated_from_trainer
datasets:
  - common_voice_13_0
model-index:
  - name: finetuning-wav2vec-large-swahili-asr-model_v9
    results: []

finetuning-wav2vec-large-swahili-asr-model_v9

This model is a fine-tuned version of AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:

eval_loss: 0.2818
eval_wer: 0.1945
eval_runtime: 657.4969
eval_samples_per_second: 17.142
eval_steps_per_second: 2.143
epoch: 9.69
step: 14000

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 15
mixed_precision_training: Native AMP

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.6
Tokenizers 0.14.1