End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: gpt2
+tags:
+- generated_from_trainer
+datasets:
+- hatexplain
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: finetuned-gpt2-lora-hatexplain
+  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. -->
+
+# finetuned-gpt2-lora-hatexplain
+
+This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on the hatexplain dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.7613
+- Accuracy: 0.6840
+- Precision: 0.6769
+- Recall: 0.6840
+- F1: 0.6782
+
+## 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: 0.0005
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.698         | 1.0   | 1923 | 0.7705          | 0.6608   | 0.6516    | 0.6608 | 0.6462 |
+| 0.8176        | 2.0   | 3846 | 0.7565          | 0.6707   | 0.6614    | 0.6707 | 0.6575 |
+| 0.8348        | 3.0   | 5769 | 0.7628          | 0.6774   | 0.6874    | 0.6774 | 0.6785 |
+| 0.5882        | 4.0   | 7692 | 0.8069          | 0.6790   | 0.6754    | 0.6790 | 0.6765 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.47.0
+- Pytorch 2.5.1+cu118
+- Datasets 3.1.0
+- Tokenizers 0.21.0