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distilbert-sst2-mahtab – AI Model by Motahar | AlphaNeural AI

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Motahar/
distilbert-sst2-mahtab

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-sst2-mahtab

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the glue dataset. It achieves the following results on the evaluation set:

eval_loss: 0.4982
eval_accuracy: 0.8830
eval_runtime: 2.3447
eval_samples_per_second: 371.91
eval_steps_per_second: 46.489
epoch: 1.0
step: 8419

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: 5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0

Framework versions

Transformers 4.15.0
Pytorch 1.10.0+cu111
Datasets 1.17.0
Tokenizers 0.10.3