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

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# LLMLingua2_span_propaganda

This model is a fine-tuned version of [microsoft/llmlingua-2-xlm-roberta-large-meetingbank](https://huggingface.co/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