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wav2vec2-large-xls-r-1b-chichewa – AI Model by dmatekenya | AlphaNeural AI
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dmatekenya
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wav2vec2-large-xls-r-1b-chichewa
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-1b
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-large-xls-r-1b-chichewa
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-1b
on the None dataset. It achieves the following results on the evaluation set:
Loss: inf
Wer: 0.8481
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: 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: 500
num_epochs: 10
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.2567
3.51
400
inf
0.9449
1.476
7.02
800
inf
0.8481
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
