End of training

README.md

@@ -0,0 +1,66 @@
+---
+library_name: transformers
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: cwe-vulnerability-classification-distilbert-base
+  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. -->
+
+# cwe-vulnerability-classification-distilbert-base
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 3.6392
+- Accuracy: 0.2375
+- F1: 0.0120
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 4.9761        | 1.0   | 23   | 4.3370          | 0.2375   | 0.0120 |
+| 4.3703        | 2.0   | 46   | 3.8338          | 0.2375   | 0.0120 |
+| 4.0278        | 3.0   | 69   | 3.6747          | 0.2375   | 0.0120 |
+| 3.836         | 4.0   | 92   | 3.6392          | 0.2375   | 0.0120 |
+
+
+### Framework versions
+
+- Transformers 4.54.1
+- Pytorch 2.7.1+cu126
+- Datasets 4.0.0
+- Tokenizers 0.21.4

emissions.csv

@@ -0,0 +1,2 @@
+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
+2025-08-04T09:01:47,codecarbon,7d1dbc12-623e-451e-9100-c5e839fa4b3f,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,30.863396677188575,0.0004951698940113256,1.6043920868156108e-05,40.021084997500004,447.6360847038291,70.0,0.0003316227838680323,0.0037924819229999684,0.0005800163424211659,0.004704121049289167,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,3.0.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:fb645a876e1a3efd408277dc2457ff50e34180b6bc9716191bd0dcf48a817f84
+oid sha256:0fea5eef30ac5c2239f722de20092da0988a1b698f3a13c4fececeaf4559214d
 size 268386256