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Models – AI Model by Mil00 | AlphaNeural AI

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Mil00/
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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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Models

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: 7.0036
eval_accuracy: 0.1747
eval_runtime: 89.0447
eval_samples_per_second: 85.777
eval_steps_per_second: 5.368
epoch: 58.0
step: 63278

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 200

Framework versions

Transformers 4.30.2
Pytorch 2.0.0+cu118
Datasets 2.13.0
Tokenizers 0.13.3