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sentiment_model_roberta – AI Model by Shifterr | AlphaNeural AI
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Shifterr
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sentiment_model_roberta
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-roberta-base-sentiment-latest
finetune
cc-by-4.0
text-embeddings-inference
endpoints_compatible
us
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sentiment_model_roberta
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: 1.0550
Accuracy: 0.6698
F1: 0.6194
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: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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
F1
No log
1.0
295
0.8042
0.6426
0.6080
0.7867
2.0
590
0.8863
0.6672
0.6220
0.7867
3.0
885
1.0550
0.6698
0.6194
Framework versions
Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
