update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: framing_classification_longformer
+  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. -->
+
+# framing_classification_longformer
+
+This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.1860
+- Accuracy: 0.8377
+- F1: 0.9093
+- Precision: 0.8493
+- Recall: 0.9785
+
+## 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: 5e-05
+- train_batch_size: 1
+- eval_batch_size: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.0053        | 1.0   | 5152  | 1.4254          | 0.8315   | 0.9080 | 0.8315    | 1.0    |
+| 0.0107        | 2.0   | 10304 | 1.2232          | 0.8315   | 0.9080 | 0.8315    | 1.0    |
+| 1.2863        | 3.0   | 15456 | 1.1860          | 0.8377   | 0.9093 | 0.8493    | 0.9785 |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 2.2.0+cu121
+- Datasets 2.18.0
+- Tokenizers 0.13.2