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wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa – AI Model by bookbot | AlphaNeural AI
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wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-xls-r-300m
finetune
apache-2.0
endpoints_compatible
us
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wav2vec2-xls-r-300m-swahili-cv-fleurs-alffa
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: 0.2092
Wer: 0.0568
Cer: 0.0478
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: 0.0002
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_ratio: 0.1
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.5593
1.0
2007
0.3037
0.0790
0.0647
0.3965
2.0
4014
0.2326
0.0634
0.0531
0.2894
3.0
6021
0.2092
0.0568
0.0478
Framework versions
Transformers 4.38.2
Pytorch 2.2.1
Datasets 2.18.1.dev0
Tokenizers 0.15.2
