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sentiment_analysis_on_covid_tweets – AI Model by edusei | AlphaNeural AI

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edusei/
sentiment_analysis_on_covid_tweets

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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sentiment_analysis_on_covid_tweets

This model is a fine-tuned version of distilbert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

eval_loss: 0.5883
eval_accuracy: 0.771
eval_runtime: 33.4887
eval_samples_per_second: 59.722
eval_steps_per_second: 7.465
step: 0

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

Framework versions

Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.8.0
Tokenizers 0.13.2