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Speech10 – AI Model by DRAGOO | AlphaNeural AI
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DRAGOO
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Speech10
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
apache-2.0
endpoints_compatible
us
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Speech10
This model is a fine-tuned version of
facebook/wav2vec2-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 2.0207
Wer: 1
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: 1e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.919
3.96
1000
2.9089
1
2.8706
7.92
2000
2.8730
1
2.8394
11.88
3000
2.8621
1
2.5675
15.84
4000
2.5216
1
2.1256
19.8
5000
2.0207
1
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu117
Datasets 2.13.1
Tokenizers 0.13.3
