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wav2vec2-large-mms-1b-turkish-tutorial – AI Model by jerryyang1231 | AlphaNeural AI
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wav2vec2-large-mms-1b-turkish-tutorial
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transformers
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_6_1
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-large-mms-1b-turkish-tutorial
This model is a fine-tuned version of
facebook/mms-1b-all
on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:
Loss: 0.1536
Wer: 0.2215
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: 100
num_epochs: 4
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
