End of training

README.md

@@ -0,0 +1,71 @@
+---
+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-8-16
+  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-8-16
+
+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: 0.1208
+- Precision: 0.9454
+- Recall: 0.9673
+- F1: 0.9563
+- Accuracy: 0.9838
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.1118        | 1.0   | 2643 | 0.1531          | 0.9362    | 0.9562 | 0.9461 | 0.9766   |
+| 0.1163        | 2.0   | 5286 | 0.1259          | 0.9459    | 0.9642 | 0.9550 | 0.9820   |
+| 0.0938        | 3.0   | 7929 | 0.1208          | 0.9454    | 0.9673 | 0.9563 | 0.9838   |
+
+
+### Framework versions
+
+- PEFT 0.12.0
+- Transformers 4.43.3
+- Pytorch 2.4.1+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1