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wav2vec2-mms-1b-turkish-istech – AI Model by muratsimsek003 | AlphaNeural AI
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wav2vec2-mms-1b-turkish-istech
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tensorboard
safetensors
wav2vec2
generated_from_trainer
common_voice_6_1
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
us
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wav2vec2-mms-1b-turkish-istech
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: 0.1796
Wer: 0.2458
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: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 20
num_epochs: 0.5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.5172
0.0920
20
0.6350
0.4468
0.3844
0.1839
40
0.2180
0.2687
0.345
0.2759
60
0.1910
0.2566
0.2855
0.3678
80
0.1854
0.2493
0.3305
0.4598
100
0.1796
0.2458
Framework versions
Transformers 4.45.0.dev0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
