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wav2vec2-large-mms-1b-kazakh-bache – AI Model by ih8HF | AlphaNeural AI
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wav2vec2-large-mms-1b-kazakh-bache
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
common_voice_13_0
facebook/mms-1b-all
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-large-mms-1b-kazakh-bache
This model is a fine-tuned version of
facebook/mms-1b-all
on the common_voice_13_0 dataset. It achieves the following results on the evaluation set:
Loss: 0.2490
Wer: 0.2897
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: 16
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 4
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.477
1.92
100
0.2687
0.3128
0.2077
3.85
200
0.2490
0.2897
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
