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bekirbakar/
wav2vec2-large-xlsr-53-tr-fine-tuning

Name: wav2vec2-large-xlsr-53-tr-fine-tuning
Availability: InStock

transformers

pytorch

wav2vec2

automatic-speech-recognition

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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wav2vec2-large-xlsr-53-tr-fine-tuning-00

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the common_voice dataset. It achieves the following results on the evaluation set:

Loss: 0.3974
Wer: 0.4784

Training Procedure

Training Hyper-parameters

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

Training Results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0376	4.21	400	2.4295	1.0
0.8375	8.42	800	0.4717	0.6291
0.3246	12.63	1200	0.4066	0.5528
0.216	16.84	1600	0.4022	0.5149
0.1664	21.05	2000	0.3972	0.5013
0.1413	25.26	2400	0.3982	0.4894
0.1197	29.47	2800	0.3974	0.4784

Framework Versions

Transformers 4.19.1
Pytorch 1.11.0+cu102
Datasets 2.2.1
Tokenizers 0.12.1

bekirbakar/wav2vec2-large-xlsr-53-tr-fine-tuning