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husnu/
wav2vec2-large-xls-r-300m-turkish-colab

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

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the common_voice_6.1 dataset. It achieves the following results on the evaluation set:

Loss: 0.4380
Wer: 0.3508

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: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
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
3.8764	3.67	400	0.7239	0.7221
0.4526	7.34	800	0.5009	0.5345
0.2169	11.01	1200	0.4728	0.4693
0.1438	14.68	1600	0.4648	0.4669
0.1095	18.35	2000	0.4642	0.4094
0.0893	22.02	2400	0.4749	0.3879
0.0701	25.69	2800	0.4410	0.3665
0.056	29.36	3200	0.4380	0.3508

Framework versions

Transformers 4.11.3
Pytorch 1.10.0+cu111
Datasets 1.18.3
Tokenizers 0.10.3

husnu/wav2vec2-large-xls-r-300m-turkish-colab

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

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

husnu/
wav2vec2-large-xls-r-300m-turkish-colab