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