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wolof-1-hour-wav2vec2-xls-r-google-fleurs – AI Model by asr-africa | AlphaNeural AI
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wolof-1-hour-wav2vec2-xls-r-google-fleurs
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
fleurs
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
model-index
endpoints_compatible
us
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wolof-1-hour-wav2vec2-xls-r-google-fleurs
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 3.0203
Wer: 1.0
Cer: 1.0
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_ratio: 0.1
num_epochs: 50
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
4.3753
25.0
200
3.0125
1.0
1.0
3.003
50.0
400
3.0203
1.0
1.0
Framework versions
Transformers 4.44.2
Pytorch 2.1.0+cu118
Datasets 2.17.0
Tokenizers 0.19.1