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wav2vec2-xls-r-300m-runyankole-asr-model-yogera-dataset – AI Model by KasuleTrevor | AlphaNeural AI
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wav2vec2-xls-r-300m-runyankole-asr-model-yogera-dataset
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-xls-r-300m-runyankole-asr-model-yogera-dataset
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 1.5019
eval_wer: 0.5605
eval_cer: 0.1716
eval_runtime: 30.2724
eval_samples_per_second: 18.895
eval_steps_per_second: 1.189
epoch: 40.0
step: 2860
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: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.05
num_epochs: 50
Framework versions
Transformers 4.46.1
Pytorch 2.8.0.dev20250319+cu128
Datasets 3.2.0
Tokenizers 0.20.3
