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wav2vec2-base-coscan-no-region – AI Model by versae | AlphaNeural AI
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versae
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wav2vec2-base-coscan-no-region
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transformers
pytorch
tensorboard
safetensors
wav2vec2
audio-classification
generated_from_trainer
coscan-speech2
apache-2.0
model-index
endpoints_compatible
us
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wav2vec2-base-coscan-no-region
This model is a fine-tuned version of
facebook/wav2vec2-base
on the coscan-speech2 dataset. It achieves the following results on the evaluation set:
Loss: 0.9216
Accuracy: 0.8175
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.1512
1.0
6468
0.9216
0.8175
Framework versions
Transformers 4.22.0.dev0
Pytorch 1.10.1+cu102
Datasets 2.4.1.dev0
Tokenizers 0.12.1
