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LLMLingua2_span_propaganda – AI Model by anismahmahi | AlphaNeural AI

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anismahmahi/
LLMLingua2_span_propaganda

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token-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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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