metadata

base_model: patrickvonplaten/wav2vec2_tiny_random
tags:
  - generated_from_trainer
model-index:
  - name: wav2vec2-tiny-random-rodela-classifier
    results: []

wav2vec2-tiny-random-rodela-classifier

This model is a fine-tuned version of patrickvonplaten/wav2vec2_tiny_random on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.7650
eval_accuracy: 0.9102
eval_runtime: 0.2323
eval_samples_per_second: 1054.546
eval_steps_per_second: 133.432
epoch: 37.0
step: 4551

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: 8
eval_batch_size: 8
seed: 42
total_train_batch_size: 4.0
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 100

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.17.0
Tokenizers 0.15.2