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cahya/
output

Name: output
Rating: 2.5 (12 reviews)

transformers

pytorch

wav2vec2

automatic-speech-recognition

common_voice

generated_from_trainer

common_voice

apache-2.0

endpoints_compatible

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output

This model is a fine-tuned version of cahya/wav2vec2-base-turkish-artificial-cv on the COMMON_VOICE - TR dataset. It achieves the following results on the evaluation set:

Loss: 0.1822
Wer: 0.1423

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: 7.5e-07
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 1.0

Training results

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.1+cu102
Datasets 1.18.2
Tokenizers 0.10.3

cahya/output

output

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cahya/
output