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