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roberta_violence_v2 – AI Model by samhitmantrala | AlphaNeural AI
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samhitmantrala
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roberta_violence_v2
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
FacebookAI/roberta-large
finetune
mit
text-embeddings-inference
endpoints_compatible
us
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roberta_violence_v2
This model is a fine-tuned version of
FacebookAI/roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.0000
Accuracy: 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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.0
1.0
1800
0.0000
1.0
0.0
2.0
3600
0.0000
1.0
Framework versions
Transformers 4.44.2
Pytorch 2.8.0+cu126
Datasets 4.3.0
Tokenizers 0.19.1
