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wav2vec2-fleur-mms-batch6-epoch16-finetunning-4 – AI Model by Nachuwu | AlphaNeural AI
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Nachuwu
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wav2vec2-fleur-mms-batch6-epoch16-finetunning-4
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transformers
tensorboard
safetensors
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
Nachuwu/wav2vec2-fleur-mms-batch6-epoch24-finetunning-3
finetune
cc-by-nc-4.0
model-index
endpoints_compatible
us
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wav2vec2-fleur-mms-batch6-epoch16-finetunning-4
This model is a fine-tuned version of
Nachuwu/wav2vec2-fleur-mms-batch6-epoch24-finetunning-3
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.9908
Wer: 0.4688
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: 0.001
train_batch_size: 6
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: 100
num_epochs: 16
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
6.0051
2.86
100
2.3991
0.6776
1.1733
5.71
200
1.0311
0.4930
0.9654
8.57
300
0.9807
0.4798
0.9125
11.43
400
0.9950
0.4696
0.9099
14.29
500
0.9908
0.4688
Framework versions
Transformers 4.36.0.dev0
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0
