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wav2vec2-large-mms-1b-turkish-colab – AI Model by xuweilai1991 | AlphaNeural AI
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wav2vec2-large-mms-1b-turkish-colab
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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-colab
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: 0.1535
Wer: 0.2164
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.7812
0.92
100
0.1811
0.2468
0.2821
1.83
200
0.1644
0.2291
0.2647
2.75
300
0.1574
0.2214
0.2407
3.67
400
0.1535
0.2164
Framework versions
Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
