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wav2vec2-large-mms-300m-FULL-SPGI-xs_tmp – AI Model by Jungwonchang | AlphaNeural AI
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wav2vec2-large-mms-300m-FULL-SPGI-xs_tmp
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
spgispeech_xs
facebook/mms-300m
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-large-mms-300m-FULL-SPGI-xs
This model is a fine-tuned version of
facebook/mms-300m
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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
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: 100
training_steps: 120
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
