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wav2vec2-large-xls-r-300m-pashto-colab-test-4 – AI Model by Jawaria | AlphaNeural AI
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Jawaria
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wav2vec2-large-xls-r-300m-pashto-colab-test-4
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
audiofolder
model-index
endpoints_compatible
us
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wav2vec2-large-xls-r-300m-pashto-colab-test-4
This model is a fine-tuned version of
rsd16/wav2vec2-large-xlsr-53-fine-tuned-farsi
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: nan
Wer: 1.0
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: 50
train_batch_size: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 50
total_train_batch_size: 50
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 20
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
inf
7.37
250
nan
1.0
nan
14.75
500
nan
1.0
Framework versions
Transformers 4.29.2
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
