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model-classifier-vctk-edacc – AI Model by Milana | AlphaNeural AI
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Milana
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model-classifier-vctk-edacc
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transformers
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
facebook/mms-lid-4017
finetune
cc-by-nc-4.0
endpoints_compatible
us
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model-classifier-vctk-edacc
This model is a fine-tuned version of
facebook/mms-lid-4017
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.9928
eval_accuracy: 0.6491
eval_runtime: 2565.174
eval_samples_per_second: 3.224
eval_steps_per_second: 0.403
epoch: 0.5
step: 200
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: 3e-05
train_batch_size: 32
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
training_steps: 400
mixed_precision_training: Native AMP
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
