End of training

README.md

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+---
+base_model: UBC-NLP/MARBERTv2
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: Arsarcasm
+  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. -->
+
+# Arsarcasm
+
+This model is a fine-tuned version of [UBC-NLP/MARBERTv2](https://huggingface.co/UBC-NLP/MARBERTv2) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3985
+- Accuracy: 0.8757
+- F1 Weighted: 0.8778
+- Roc Auc: 0.7900
+
+## 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: 2e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 Weighted | Roc Auc |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-------:|
+| 0.3098        | 1.0   | 1050 | 0.3747          | 0.8634   | 0.8383      | 0.6305  |
+| 0.2456        | 2.0   | 2100 | 0.3985          | 0.8757   | 0.8778      | 0.7900  |
+| 0.1446        | 3.0   | 3150 | 0.5968          | 0.8786   | 0.8711      | 0.7262  |
+| 0.0932        | 4.0   | 4200 | 0.6484          | 0.8738   | 0.8737      | 0.7678  |
+| 0.0556        | 5.0   | 5250 | 0.7629          | 0.8767   | 0.8745      | 0.7578  |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

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