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wav2vec2-xls-r-300m-kab-5m – AI Model by Rateddany | AlphaNeural AI
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Rateddany
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wav2vec2-xls-r-300m-kab-5m
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transformers
tensorboard
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-kab-5m
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:
Loss: 3.5241
Wer: 0.9903
Cer: 0.7877
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: 7e-05
train_batch_size: 16
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.98) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
training_steps: 2000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
3.3935
50.0
400
3.3441
1.0
1.0
2.7267
100.0
800
3.3977
1.0
1.0
1.734
150.0
1200
3.3134
0.9954
0.9165
1.1978
200.0
1600
3.4363
0.9908
0.8035
0.985
250.0
2000
3.5241
0.9903
0.7877
Framework versions
Transformers 4.50.0
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1
