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mr_sam_wav2vec2_nigerian_accent_v1 – AI Model by samuelchiji | AlphaNeural AI
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samuelchiji
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mr_sam_wav2vec2_nigerian_accent_v1
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
facebook/wav2vec2-base
finetune
apache-2.0
endpoints_compatible
us
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mr_sam_wav2vec2_nigerian_accent_v1
This model is a fine-tuned version of
facebook/wav2vec2-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3400
Wer: 0.1900
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: 0.0001
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
4.456
6.67
500
2.9391
1.0
1.0329
13.33
1000
0.4350
0.3343
0.2048
20.0
1500
0.3604
0.2488
0.1054
26.67
2000
0.3545
0.2118
0.0698
33.33
2500
0.3480
0.2012
0.0529
40.0
3000
0.3400
0.1900
Framework versions
Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
