update model card README.md

README.md

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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