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cwchengtw/
wav2vec2-large-xls-r-300m-turkish-colab2

Name: wav2vec2-large-xls-r-300m-turkish-colab2
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xls-r-300m-turkish-colab2

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

Loss: 0.3738
Wer: 0.3532

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.9022	3.7	400	0.6778	0.7414
0.4106	7.4	800	0.4123	0.5049
0.1862	11.11	1200	0.4260	0.4232
0.1342	14.81	1600	0.3951	0.4097
0.0997	18.51	2000	0.4100	0.3999
0.0782	22.22	2400	0.3918	0.3875
0.059	25.92	2800	0.3803	0.3698
0.0474	29.63	3200	0.3738	0.3532

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1

cwchengtw/wav2vec2-large-xls-r-300m-turkish-colab2

wav2vec2-large-xls-r-300m-turkish-colab2

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cwchengtw/
wav2vec2-large-xls-r-300m-turkish-colab2