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sentiment_analysis_93k_entries – AI Model by vectorizer | AlphaNeural AI

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vectorizer/
sentiment_analysis_93k_entries

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sentiment_analysis_93k_entries

This model is a fine-tuned version of distilbert-base-cased on the None dataset.

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Framework versions

Transformers 4.30.1
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.13.3