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distilbert-base-uncased-finetuned-sst2 – AI Model by Telstema | AlphaNeural AI

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Telstema/
distilbert-base-uncased-finetuned-sst2

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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distilbert-base-uncased-finetuned-sst2

This model is a fine-tuned version of Telstema/distilbert-base-uncased-finetuned-sst2 on the None dataset. It achieves the following results on the evaluation set:

eval_loss: 2.7080
eval_accuracy: 0.7218
eval_runtime: 13.1083
eval_samples_per_second: 10.146
eval_steps_per_second: 0.687
epoch: 2.0
step: 100

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: 3.909275911638729e-06
train_batch_size: 8
eval_batch_size: 16
seed: 23
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2

Framework versions

Transformers 4.28.1
Pytorch 2.0.0+cu118
Datasets 2.11.0
Tokenizers 0.13.3