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wav2vec2-large-xls-r-300m-tr-colab – AI Model by yamanoko | AlphaNeural AI
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yamanoko
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wav2vec2-large-xls-r-300m-tr-colab
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-tr-colab
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 8.5477
Wer: 1.0
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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
distributed_type: tpu
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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
inf
1.0
10
9.1481
1.0
nan
2.0
20
9.0411
1.0
nan
3.0
30
8.9189
1.0
nan
4.0
40
8.7113
1.0
nan
5.0
50
8.5477
1.0
Framework versions
Transformers 4.34.0
Pytorch 2.0.0+cu118
Datasets 1.18.3
Tokenizers 0.14.1
