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cahya/
xls-r-ab-test

Name: xls-r-ab-test
Availability: InStock

automatic-speech-recognition

generated_from_trainer

hf-asr-leaderboard

mozilla-foundation/common_voice_7_0

robust-speech-event

mozilla-foundation/common_voice_7_0

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: 135.4675
Wer: 1.0

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: 100

Training results

Framework versions

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

cahya/xls-r-ab-test

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cahya/
xls-r-ab-test