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