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metadata
license: mit
tags:
  - generated_from_trainer
model-index:
  - name: LLMLingua2_span_propaganda
    results: []

LLMLingua2_span_propaganda

This model is a fine-tuned version of microsoft/llmlingua-2-xlm-roberta-large-meetingbank on an unknown dataset. It achieves the following results on the evaluation set:

  • eval_loss: 0.6333
  • eval_precision: 0.0676
  • eval_recall: 0.0812
  • eval_f1: 0.0737
  • eval_accuracy: 0.8583
  • eval_runtime: 10.4985
  • eval_samples_per_second: 79.916
  • eval_steps_per_second: 5.048
  • epoch: 5.0
  • step: 885

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: 3e-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: 10

Framework versions

  • Transformers 4.30.0
  • Pytorch 2.2.2+cu121
  • Datasets 2.19.0
  • Tokenizers 0.13.3