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tamasheq-98-2 – AI Model by ad019el | AlphaNeural AI
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ad019el
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tamasheq-98-2
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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tamasheq-98-2
This model is a fine-tuned version of
ad019el/tamasheq-98-1
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5349
Wer: 0.9667
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: 200
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
7.6372
9.62
500
2.3244
1.0519
0.5009
19.23
1000
1.4651
0.9444
0.2431
28.85
1500
1.5561
0.9741
0.2013
38.46
2000
1.6960
1.0407
0.1857
48.08
2500
1.5349
0.9667
Framework versions
Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1
