End of training

README.md

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+---
+library_name: transformers
+base_model: huggingface/CodeBERTa-small-v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1
+  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. -->
+
+# vuln-patch-cwe-guesser-model-huggingface-CodeBERTa-small-v1
+
+This model is a fine-tuned version of [huggingface/CodeBERTa-small-v1](https://huggingface.co/huggingface/CodeBERTa-small-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 4.3345
+- Accuracy: 0.1685
+- F1: 0.0060
+
+## 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: 3e-05
+- train_batch_size: 32
+- eval_batch_size: 32
+- 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: 1
+- label_smoothing_factor: 0.1
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 4.5185        | 1.0   | 25   | 4.3345          | 0.1685   | 0.0060 |
+
+
+### Framework versions
+
+- Transformers 4.55.0
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.2

emissions.csv

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+timestamp,project_name,run_id,experiment_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
+2025-08-11T09:45:12,codecarbon,61945ed5-1821-4ae2-9365-9e0bd059ad03,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,8.500327202491462,0.00014669702639236079,1.7257809364016435e-05,42.5,453.73812685402925,94.34468364715576,0.00010028959177240419,0.0010707180787505877,0.00022261617064019726,0.001393623841163189,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0

metrics.json

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+{
+    "eval_loss": 4.33454704284668,
+    "eval_accuracy": 0.16853932584269662,
+    "eval_f1": 0.006009615384615384,
+    "eval_runtime": 0.288,
+    "eval_samples_per_second": 309.072,
+    "eval_steps_per_second": 10.418,
+    "epoch": 1.0
+}