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Kabyle_xlsr-finetuned-tamasheq – AI Model by ad019el | AlphaNeural AI
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Kabyle_xlsr-finetuned-tamasheq
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
endpoints_compatible
us
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tamasheq-99-8
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.4990
Wer: 0.6059
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: 3e-05
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_steps: 500
num_epochs: 30
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
9.617
6.0
300
3.2032
1.0
2.9621
12.0
600
1.6730
1.0339
0.9694
18.0
900
0.5657
0.6132
0.5765
24.0
1200
0.5097
0.6052
0.505
30.0
1500
0.4990
0.6059
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
