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wav2vec2-large-xls-r-300m-azeri-colab-test – AI Model by menhior | AlphaNeural AI
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menhior
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wav2vec2-large-xls-r-300m-azeri-colab-test
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
menhior/wav2vec2-large-xls-r-300m-turkish-colab-full
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-azeri-colab-test
This model is a fine-tuned version of
menhior/wav2vec2-large-xls-r-300m-turkish-colab-full
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5444
Wer: 0.2736
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 20
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.9357
4.4
400
0.5790
0.4613
0.2762
8.79
800
0.4553
0.3248
0.0788
13.19
1200
0.5028
0.2809
0.0293
17.58
1600
0.5444
0.2736
Framework versions
Transformers 4.34.0
Pytorch 2.0.1+cu118
Datasets 1.18.3
Tokenizers 0.14.0
