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auditi41/
wav2vec2-large-xlsr-turkish

Name: wav2vec2-large-xlsr-turkish
Availability: InStock

automatic-speech-recognition

generated_from_trainer

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wav2vec2-large-xlsr-turkish

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: 0.4242
Wer: 0.4827

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

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.0376	4.26	400	2.3690	1.0020
0.7983	8.51	800	0.4755	0.6328
0.3157	12.77	1200	0.4051	0.5408
0.2197	17.02	1600	0.4156	0.5149
0.1643	21.28	2000	0.4286	0.5036
0.1305	25.53	2400	0.4247	0.4908
0.1178	29.79	2800	0.4242	0.4827

Framework versions

Transformers 4.24.0
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2

auditi41/wav2vec2-large-xlsr-turkish

wav2vec2-large-xlsr-turkish

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

auditi41/
wav2vec2-large-xlsr-turkish