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Roberta_news_classification_text_title_Lora

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Roberta_news_classification_text_title_Lora / README.md
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metadata
library_name: peft
license: mit
base_model: roberta-base
tags:
  - generated_from_trainer
metrics:
  - f1
model-index:
  - name: Roberta_news_classification_text_title_Lora
    results: []

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