Training completed!

README.md

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+---
+library_name: transformers
+license: mit
+base_model: xlnet-large-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: CS221-xlnet-large-cased-finetuned-semeval-NT
+  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. -->
+
+# CS221-xlnet-large-cased-finetuned-semeval-NT
+
+This model is a fine-tuned version of [xlnet-large-cased](https://huggingface.co/xlnet-large-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.5885
+- F1: 0.4593
+- Roc Auc: 0.6262
+- Accuracy: 0.1516
+
+## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: cosine
+- lr_scheduler_warmup_steps: 100
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.5823        | 1.0   | 277  | 0.5885          | 0.4593 | 0.6262  | 0.1516   |
+| 0.5409        | 2.0   | 554  | 0.5851          | 0.4593 | 0.6262  | 0.1516   |
+| 0.5801        | 3.0   | 831  | 0.5811          | 0.4593 | 0.6262  | 0.1516   |
+| 0.5434        | 4.0   | 1108 | 0.5791          | 0.4593 | 0.6262  | 0.1516   |
+
+
+### Framework versions
+
+- Transformers 4.47.1
+- Pytorch 2.5.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.21.0

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