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my_awesome_asr_mind_model – AI Model by LowGI | AlphaNeural AI
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my_awesome_asr_mind_model
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transformers
pytorch
wav2vec2
automatic-speech-recognition
generated_from_trainer
minds14
apache-2.0
model-index
endpoints_compatible
us
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my_awesome_asr_mind_model
This model is a fine-tuned version of
facebook/wav2vec2-base
on the minds14 dataset. It achieves the following results on the evaluation set:
Loss: 61.8991
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: 0.1
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: 1
training_steps: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
47.4031
0.2
1
61.8991
1.0
Framework versions
Transformers 4.24.0
Pytorch 1.13.0+cpu
Datasets 2.7.1
Tokenizers 0.13.2
