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wav2vec2-large-xls-wolof-asr – AI Model by BenDaouda | AlphaNeural AI
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BenDaouda
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wav2vec2-large-xls-wolof-asr
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-wolof-asr
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2295
Wer: 0.2106
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
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.947
9.3
400
0.4350
0.4696
0.234
18.6
800
0.2276
0.2405
0.0788
27.91
1200
0.2295
0.2106
Framework versions
Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 1.18.3
Tokenizers 0.13.3
