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wav2vac2-vee-train001-ASR – AI Model by KISSz | AlphaNeural AI
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KISSz
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wav2vac2-vee-train001-ASR
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transformers
pytorch
tensorboard
wav2vec2
automatic-speech-recognition
generated_from_trainer
cc-by-sa-4.0
endpoints_compatible
us
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wav2vac2-vee-train001-ASR
This model is a fine-tuned version of
airesearch/wav2vec2-large-xlsr-53-th
on an unkown dataset.
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: 0.0001
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: 5
Training results
Framework versions
Transformers 4.9.1
Pytorch 1.9.0+cpu
Datasets 1.11.0
Tokenizers 0.10.3
