metadata

base_model: /home/cloudwalker/ASVmodel/wavlm-base_2/checkpoint-19700
tags:
  - audio-classification
  - generated_from_trainer
model-index:
  - name: wavlm-base_2_predict
    results: []

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