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full – AI Model by sverhmassivnaya | AlphaNeural AI
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
autotrain_compatible
endpoints_compatible
us
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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: 1.0439
Accuracy: 0.4726
Precision: 0.3114
Recall: 0.4065
F1 Macro: 0.3526
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
Precision
Recall
F1 Macro
1.0795
1.0
56
1.0224
0.4792
0.3179
0.4293
0.3637
1.0402
2.0
112
1.0194
0.4766
0.3131
0.4242
0.3598
Framework versions
Transformers 4.48.3
Pytorch 2.5.1+cu124
Datasets 3.6.0
Tokenizers 0.21.0
