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twitter-roberta-sentiment-analysiss-lr-1e-5 – AI Model by Akirami | AlphaNeural AI
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Akirami
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twitter-roberta-sentiment-analysiss-lr-1e-5
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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-analysiss-lr-1e-5
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: 0.5804
Balanced Accuracy: 0.6492
Accuracy: 0.6649
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: 1e-05
train_batch_size: 32
eval_batch_size: 32
seed: 42
optimizer: Use 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: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Balanced Accuracy
Accuracy
0.4577
1.3889
200
0.4800
0.6217
0.5382
0.3676
2.7778
400
0.4861
0.6472
0.6059
0.3078
4.1667
600
0.5804
0.6492
0.6649
Framework versions
Transformers 4.46.2
Pytorch 2.5.0+cu121
Datasets 3.1.0
Tokenizers 0.20.3
