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Roberta_news_classification_text_title_Lora – AI Model by Sharpaxis | AlphaNeural AI
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Sharpaxis
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Roberta_news_classification_text_title_Lora
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peft
safetensors
generated_from_trainer
FacebookAI/roberta-base
adapter
mit
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Roberta_news_classification_text_title_Lora
This model is a fine-tuned version of
roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0284
F1: 0.9874
Acc: 0.9870
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
Acc
0.2083
1.0
1521
0.0322
0.9858
0.9854
0.0334
2.0
3042
0.0291
0.9866
0.9862
0.03
3.0
4563
0.0284
0.9874
0.9870
Framework versions
PEFT 0.14.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.2.0
Tokenizers 0.19.1
