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covid-tweet-sentimental-Analysis-roberta – AI Model by gyesibiney | AlphaNeural AI
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covid-tweet-sentimental-Analysis-roberta
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transformers
pytorch
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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Model card
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test_trainer
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:
Loss: 0.6957
Accuracy: 0.7107
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
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.8279
0.52
500
0.8843
0.6755
0.7718
1.04
1000
0.7864
0.6786
0.739
1.55
1500
0.7484
0.6982
0.7014
2.07
2000
0.7300
0.7039
0.6634
2.59
2500
0.6957
0.7107
Framework versions
Transformers 4.31.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
