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finetuning-wav2vec-lora-large-swahili-asr-model_v20 – AI Model by Joshua-Abok | AlphaNeural AI
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Joshua-Abok
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finetuning-wav2vec-lora-large-swahili-asr-model_v20
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
Joshua-Abok/finetuning-wav2vec-large-swahili-asr-model_v10
finetune
apache-2.0
endpoints_compatible
us
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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
