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roberta-senti-neologism-full-finetune – AI Model by AkhilaGP | AlphaNeural AI
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AkhilaGP
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roberta-senti-neologism-full-finetune
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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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roberta-senti-neologism-full-finetune
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.9212
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.5653
1.3055
500
0.6218
0.2694
2.6110
1000
0.9212
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3
