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tamasheq-3e-5 – AI Model by YassineBenlaria | AlphaNeural AI
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YassineBenlaria
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tamasheq-3e-5
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
jonatasgrosman/wav2vec2-large-xlsr-53-arabic
finetune
apache-2.0
endpoints_compatible
us
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tamasheq-3e-5
This model is a fine-tuned version of
jonatasgrosman/wav2vec2-large-xlsr-53-arabic
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6463
Wer: 0.7256
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
16.1726
5.8
200
3.5775
1.0
3.2056
11.59
400
3.0132
1.0
2.3808
17.39
600
1.0264
0.8069
0.6535
23.19
800
0.6919
0.7388
0.4426
28.99
1000
0.6463
0.7256
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3
