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wav2vec2-base-finetuned-daps – AI Model by hzx405416956 | AlphaNeural AI

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hzx405416956/
wav2vec2-base-finetuned-daps

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audio-classification

generated_from_trainer

facebook/wav2vec2-base

endpoints_compatible

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wav2vec2-base-finetuned-daps

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0242
eval_accuracy: 1.0
eval_runtime: 39.2251
eval_samples_per_second: 0.51
eval_steps_per_second: 0.51
epoch: 1.51
step: 68

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: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.1