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customwolof – AI Model by Fatou | AlphaNeural AI
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Fatou
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customwolof
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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customwolof
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: 0.5064
Wer: 0.5374
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: 0.0001
train_batch_size: 3
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.6192
0.62
1000
1.0280
0.8399
0.683
1.25
2000
0.6802
0.6553
0.501
1.88
3000
0.5734
0.5846
0.3785
2.5
4000
0.5064
0.5374
Framework versions
Transformers 4.33.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3
