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wav2vec2-large-xls-r-300m-chichewa – AI Model by dmatekenya | AlphaNeural AI
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dmatekenya
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wav2vec2-large-xls-r-300m-chichewa
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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-chichewa
This model is a fine-tuned version of
facebook/wav2vec2-xls-r-300m
on the None dataset. It achieves the following results on the evaluation set:
Loss: inf
Wer: 0.9669
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: 15
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.2028
3.51
400
inf
0.9999
2.5353
7.02
800
inf
0.9743
1.8464
10.53
1200
inf
0.9777
1.6672
14.04
1600
inf
0.9669
Framework versions
Transformers 4.33.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
