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result4 – AI Model by Hanisnabila | AlphaNeural AI
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Hanisnabila
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result4
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transformers
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
autotrain_compatible
endpoints_compatible
us
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result4
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0109
Accuracy: 0.6581
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: 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: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.9359
1.0
723
0.8281
0.5875
0.8173
2.0
1446
0.7763
0.6291
0.619
3.0
2169
0.8050
0.6491
0.5062
4.0
2892
0.8783
0.6585
0.3474
5.0
3615
1.0109
0.6581
Framework versions
Transformers 4.45.2
Pytorch 2.2.2+cu118
Datasets 3.0.1
Tokenizers 0.20.0
