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wav2vec2-large-mms-1b-FULL-SPGI-xs_1e5 – AI Model by Jungwonchang | AlphaNeural AI

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Jungwonchang/
wav2vec2-large-mms-1b-FULL-SPGI-xs_1e5

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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wav2vec2-large-mms-1b-FULL-SPGI-xs_1e5

This model is a fine-tuned version of facebook/mms-1b-all on the spgispeech_xs dataset.

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: 1e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 120
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.36.0.dev0
Pytorch 1.12.1+cu116
Datasets 2.4.0
Tokenizers 0.15.0