End of training

README.md

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+---
+base_model: FacebookAI/roberta-base
+library_name: peft
+license: mit
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+tags:
+- generated_from_trainer
+model-index:
+- name: roberta-base-ner-lorafinetune-runs-16-32
+  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-base-ner-lorafinetune-runs-16-32
+
+This model is a fine-tuned version of [FacebookAI/roberta-base](https://huggingface.co/FacebookAI/roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1258
+- Precision: 0.9485
+- Recall: 0.9697
+- F1: 0.9590
+- Accuracy: 0.9843
+
+## 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: 0.0004
+- 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
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1172        | 1.0   | 2643 | 0.1473          | 0.9389    | 0.9581 | 0.9484 | 0.9779   |
+| 0.1027        | 2.0   | 5286 | 0.1273          | 0.9458    | 0.9670 | 0.9563 | 0.9827   |
+| 0.0875        | 3.0   | 7929 | 0.1258          | 0.9485    | 0.9697 | 0.9590 | 0.9843   |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.3
+- Pytorch 2.4.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1