End of training

README.md

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+---
+library_name: peft
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: Roberta_news_classification_text_title_Lora
+  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. -->
+
+# Roberta_news_classification_text_title_Lora
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0284
+- F1: 0.9874
+- Acc: 0.9870
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|
+| 0.2083        | 1.0   | 1521 | 0.0322          | 0.9858 | 0.9854 |
+| 0.0334        | 2.0   | 3042 | 0.0291          | 0.9866 | 0.9862 |
+| 0.03          | 3.0   | 4563 | 0.0284          | 0.9874 | 0.9870 |
+
+
+### Framework versions
+
+- PEFT 0.14.0
+- Transformers 4.44.2
+- Pytorch 2.4.1+cu121
+- Datasets 3.2.0
+- Tokenizers 0.19.1