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satisfaction_model – AI Model by acmc | AlphaNeural AI | AlphaNeural AI
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satisfaction_model
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satisfaction_model
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satisfaction_model
This model is a fine-tuned version of
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7983
Accuracy: 0.82
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: 0.00046878097862004293
train_batch_size: 1
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
Training results
Framework versions
Transformers 4.44.2
Pytorch 2.3.1+cu121
Datasets 2.21.0
Tokenizers 0.19.1
