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twitter-roberta-sentiment – AI Model by Manikks | AlphaNeural AI
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Manikks
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twitter-roberta-sentiment
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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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twitter-roberta-sentiment
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: 0.3963
Accuracy: 0.9263
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3962
1.0
1500
0.3928
0.9043
0.2296
2.0
3000
0.3541
0.9283
0.1205
3.0
4500
0.3963
0.9263
Framework versions
Transformers 4.49.0
Pytorch 2.5.1+cpu
Datasets 2.19.1
Tokenizers 0.21.0
