Training complete

README.md

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+---
+library_name: transformers
+license: bigscience-openrail-m
+base_model: ehsanaghaei/SecureBERT
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: Securebert-finetuned-LadderHALF
+  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. -->
+
+# Securebert-finetuned-LadderHALF
+
+This model is a fine-tuned version of [ehsanaghaei/SecureBERT](https://huggingface.co/ehsanaghaei/SecureBERT) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1919
+- Precision: 0.6547
+- Recall: 0.6775
+- F1: 0.6659
+- Accuracy: 0.9540
+
+## 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 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 228  | 0.2715          | 0.6274    | 0.4913 | 0.5511 | 0.9315   |
+| No log        | 2.0   | 456  | 0.1988          | 0.6457    | 0.6688 | 0.6571 | 0.9506   |
+| 0.3276        | 3.0   | 684  | 0.1919          | 0.6547    | 0.6775 | 0.6659 | 0.9540   |
+
+
+### Framework versions
+
+- Transformers 4.51.3
+- Pytorch 2.6.0+cu124
+- Datasets 3.5.0
+- Tokenizers 0.21.1