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wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new – AI Model by kming | AlphaNeural AI
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kming
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wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-new
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transformers
pytorch
wav2vec2
audio-xvector
generated_from_trainer
edinburghcstr/ami
anton-l/wav2vec2-base-superb-sv
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-base-superb-sv-finetuned-ami-ten-percent-train-normalized
This model is a fine-tuned version of
anton-l/wav2vec2-base-superb-sv
on the ami dataset.
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: 1e-05
train_batch_size: 8
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_ratio: 0.1
num_epochs: 1
Training results
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.14.4
Tokenizers 0.13.3
