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---
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
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