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: 0.3804
• eval_wer: 0.2066
• eval_runtime: 611.206
• eval_samples_per_second: 18.441
• eval_steps_per_second: 2.305
• epoch: 0.28
• step: 400

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