finetuning-wav2vec-lora-large-swahili-asr-model_v20
This model is a fine-tuned version of Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10 on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.3743
- eval_wer: 0.2301
- eval_runtime: 625.6728
- eval_samples_per_second: 18.014
- eval_steps_per_second: 2.252
- epoch: 1.94
- step: 2800
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: 30
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.36.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0
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Model tree for Joshua-Abok/finetuning-wav2vec-lora-large-swahili-asr-model_v20
Base model
AntonyG/fine-tune-wav2vec2-large-xls-r-1b-sw
Finetuned
Joshua-Abok/finetuned_wav2vec_asr