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wavlm-base_2_predict – AI Model by cloudwalkerw | AlphaNeural AI
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cloudwalkerw
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wavlm-base_2_predict
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transformers
pytorch
wavlm
audio-classification
generated_from_trainer
endpoints_compatible
us
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wavlm-base_2_predict
This model is a fine-tuned version of
/home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.3326
eval_accuracy: 0.8974
eval_runtime: 502.5226
eval_samples_per_second: 49.439
eval_steps_per_second: 24.719
step: 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: 2
seed: 0
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 50.0
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.0.post302
Datasets 2.14.5
Tokenizers 0.13.3
