README.md

metadata

license: apache-2.0
tags:
  - automatic-speech-recognition
  - gary109/AI_Light_Dance
  - generated_from_trainer
model-index:
  - name: ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4
    results: []

ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v4

This model is a fine-tuned version of gary109/ai-light-dance_stepmania_ft_wav2vec2-large-xlsr-53-v3 on the GARY109/AI_LIGHT_DANCE - ONSET-STEPMANIA2 dataset. It achieves the following results on the evaluation set:

• Loss: 1.0298
• Wer: 0.6642

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: 4e-05
• train_batch_size: 8
• eval_batch_size: 8
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 10.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.9218	1.0	188	1.0718	0.6958
0.9194	2.0	376	1.0354	0.6937
0.9077	3.0	564	1.0365	0.6730
0.8956	4.0	752	1.0497	0.6727
0.877	5.0	940	1.0299	0.6694
0.8736	6.0	1128	1.0298	0.6642
0.8769	7.0	1316	1.0348	0.6584
0.8571	8.0	1504	1.0689	0.6602
0.8573	9.0	1692	1.0559	0.6549
0.8458	10.0	1880	1.0706	0.6588

Framework versions

• Transformers 4.21.0.dev0
• Pytorch 1.11.0+cu113
• Datasets 2.3.3.dev0
• Tokenizers 0.12.1