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sms_class_test1 – AI Model by manish1993hf | AlphaNeural AI

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manish1993hf/
sms_class_test1

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sms_class_test1

This model is a fine-tuned version of distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0314
eval_accuracy: 0.9964
eval_runtime: 0.5458
eval_samples_per_second: 511.138
eval_steps_per_second: 16.488
epoch: 5.0
step: 830

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: 2e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50

Framework versions

Transformers 4.28.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3