update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: allenai/longformer-base-4096
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: longformer-harmful-ro
+  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. -->
+
+# longformer-harmful-ro
+
+This model is a fine-tuned version of [allenai/longformer-base-4096](https://huggingface.co/allenai/longformer-base-4096) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0102
+- Accuracy: 0.996
+- Precision: 0.998
+- Recall: 0.955
+- F1: 0.975
+
+## 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: 64
+- eval_batch_size: 128
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1    |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:-----:|
+| No log        | 1.0   | 89   | 0.0972          | 0.978    | 0.989     | 0.75   | 0.828 |
+| No log        | 2.0   | 178  | 0.0337          | 0.986    | 0.993     | 0.841  | 0.902 |
+| No log        | 3.0   | 267  | 0.0102          | 0.996    | 0.998     | 0.955  | 0.975 |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.0
+- Tokenizers 0.13.3