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speechModel-test1 – AI Model by RitaQi | AlphaNeural AI

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RitaQi/
speechModel-test1

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speechModel-test1

This model was trained from scratch on the minds14 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: 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: 2000

Framework versions

Transformers 4.33.1
Pytorch 2.0.1+cpu
Datasets 2.14.4
Tokenizers 0.13.3