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

Name: wav2vec2-large-xls-r-300m-ja-colab-new
Availability: InStock

automatic-speech-recognition

generated_from_trainer

common_voice_10_0

apache-2.0

endpoints_compatible

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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

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

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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