This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 0.8407
Wer: 0.1570

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: 0.0001
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0365	0.84	400	2.8613	0.9867
1.9273	1.68	800	0.8407	0.1570

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 2.14.3
Tokenizers 0.13.3

pinot/wav2vec2-xls-r-300m-ja-phoneme_cv_14_2

wav2vec2-xls-r-300m-ja-phoneme_cv_14_2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

pinot/
wav2vec2-xls-r-300m-ja-phoneme_cv_14_2