wav2vec2-large-xls-r-300m-ja-colab-new

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_10_0 dataset. It achieves the following results on the evaluation set:

• Loss: 1.1931
• Wer: 0.2584

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: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 10
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	637	5.3089	0.9670
No log	2.0	1274	3.2716	0.6123
No log	3.0	1911	2.1797	0.4708
No log	4.0	2548	1.8331	0.4113
6.3938	5.0	3185	1.5111	0.3460
6.3938	6.0	3822	1.3575	0.3132
6.3938	7.0	4459	1.2946	0.2957
6.3938	8.0	5096	1.2346	0.2762
1.023	9.0	5733	1.2053	0.2653
1.023	10.0	6370	1.1931	0.2584

Framework versions

• Transformers 4.21.2
• Pytorch 1.10.0+cu113
• Datasets 2.4.0
• Tokenizers 0.12.1