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wav2vec2-large-mms-1b-taigi – AI Model by jerryyang1231 | AlphaNeural AI
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jerryyang1231
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wav2vec2-large-mms-1b-taigi
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/mms-1b-all
finetune
cc-by-nc-4.0
endpoints_compatible
us
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wav2vec2-large-mms-1b-taigi
This model is a fine-tuned version of
facebook/mms-1b-all
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0994
Wer: 0.7598
Cer: 0.2209
Num Input Tokens Seen: 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: 0.001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 25
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.57.0.dev0
Pytorch 2.8.0+cu128
Datasets 2.14.5
Tokenizers 0.22.0
