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roberta-finetuned-b2b-saas-sentiment – AI Model by mohanrajasivakumar | AlphaNeural AI
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mohanrajasivakumar
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roberta-finetuned-b2b-saas-sentiment
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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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saas-sentiment-out
This model is a fine-tuned version of
cardiffnlp/twitter-roberta-base-sentiment-latest
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0006
Accuracy: 1.0
F1 Weighted: 1.0
Precision W: 1.0
Recall W: 1.0
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
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1 Weighted
Precision W
Recall W
No log
1.0
34
0.0025
1.0
1.0
1.0
1.0
0.1112
2.0
68
0.0007
1.0
1.0
1.0
1.0
0.0016
3.0
102
0.0006
1.0
1.0
1.0
1.0
Framework versions
Transformers 4.56.1
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
