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: 0.3806
Wer: 0.0875

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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.8739	0.1	400	2.8760	1.0
1.8658	0.2	800	0.7874	0.1632
0.7464	0.29	1200	0.5934	0.1300
0.6031	0.39	1600	0.5022	0.1131
0.5313	0.49	2000	0.4730	0.1053
0.4973	0.59	2400	0.4571	0.1012
0.4686	0.69	2800	0.4156	0.0962
0.4315	0.79	3200	0.3926	0.0916
0.4192	0.88	3600	0.3865	0.0886
0.4055	0.98	4000	0.3806	0.0875

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_4

wav2vec2-xls-r-300m-ja-phoneme_cv_14_4

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_4