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Mofe/
speech-sprint-test

Name: speech-sprint-test
Rating: 2.5 (19 reviews)

transformers

pytorch

wav2vec2

automatic-speech-recognition

mozilla-foundation/common_voice_7_0

generated_from_trainer

common_voice

endpoints_compatible

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This model is a fine-tuned version of hf-test/xls-r-dummy on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - AB dataset. It achieves the following results on the evaluation set:

Loss: 207.6065
Wer: 1.5484

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: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 10
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu113
Datasets 1.18.4.dev0
Tokenizers 0.11.0

Mofe/speech-sprint-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Mofe/
speech-sprint-test