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bertweet-base-sentiment-analysis – AI Model by gunkaynar | AlphaNeural AI
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bertweet-base-sentiment-analysis
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transformers
pytorch
roberta
text-classification
generated_from_trainer
finiteautomata/bertweet-base-sentiment-analysis
finetune
autotrain_compatible
endpoints_compatible
us
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bertweet-base-sentiment-analysis
This model is a fine-tuned version of
finiteautomata/bertweet-base-sentiment-analysis
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.5717
Accuracy: 0.6746
F1: 0.7127
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Framework versions
Transformers 4.33.3
Pytorch 2.1.1
Datasets 2.14.7
Tokenizers 0.11.0
