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Analysing_socialMedia_sentiment_on_vaccines – AI Model by allevelly | AlphaNeural AI
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Analysing_socialMedia_sentiment_on_vaccines
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transformers
pytorch
tensorboard
roberta
text-classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
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Analysing_socialMedia_sentiment_on_vaccines
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 0.9500
eval_accuracy: 0.491
eval_runtime: 63.512
eval_samples_per_second: 31.49
eval_steps_per_second: 3.936
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: 13
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
