End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/graphcodebert-base](https://huggingface.co/microsoft/graphcodebert-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 3.2520
-- Accuracy: 0.4831
-- F1: 0.0406
+- Loss: 3.4895
+- Accuracy: 0.4368
+- F1: 0.0312
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 4.6203        | 1.0   | 20   | 3.9289          | 0.3258   | 0.0126 |
-| 4.1133        | 2.0   | 40   | 3.7132          | 0.4494   | 0.0365 |
-| 3.8534        | 3.0   | 60   | 3.3958          | 0.4831   | 0.0392 |
-| 3.5811        | 4.0   | 80   | 3.2843          | 0.4831   | 0.0396 |
-| 3.4742        | 5.0   | 100  | 3.2520          | 0.4831   | 0.0406 |
+| 4.5501        | 1.0   | 20   | 3.8838          | 0.2529   | 0.0096 |
+| 4.0872        | 2.0   | 40   | 3.7723          | 0.3793   | 0.0269 |
+| 3.9551        | 3.0   | 60   | 3.6460          | 0.4253   | 0.0304 |
+| 3.8449        | 4.0   | 80   | 3.5296          | 0.4253   | 0.0304 |
+| 3.7288        | 5.0   | 100  | 3.4895          | 0.4368   | 0.0312 |
 
 
 ### Framework versions

emissions.csv

@@ -1,2 +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
-2025-08-11T10:17:09,codecarbon,215d81bb-4dc1-4c7a-b3cb-016ca4e55fa8,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,58.27186329010874,0.001046931100390279,1.796632270325889e-05,42.5,465.8439992179711,94.34468364715576,0.0006876452240944168,0.0077317739631723725,0.0015264411852314193,0.009945860372498208,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
+2025-08-11T12:41:57,codecarbon,cda74a4e-f8a5-41ed-ae88-c6c5babc9c92,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,59.159571717493236,0.001065499763082647,1.8010606435265708e-05,42.5,462.1247705284116,94.34468364715576,0.0006979600649941453,0.00787496018884326,0.0015493426788421396,0.010122262932679545,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

@@ -1,9 +1,9 @@
 {
-    "eval_loss": 3.2520461082458496,
-    "eval_accuracy": 0.48314606741573035,
-    "eval_f1": 0.040641505810045137,
-    "eval_runtime": 0.4561,
-    "eval_samples_per_second": 195.136,
-    "eval_steps_per_second": 6.578,
+    "eval_loss": 3.489516258239746,
+    "eval_accuracy": 0.4367816091954023,
+    "eval_f1": 0.03123067408781694,
+    "eval_runtime": 0.3673,
+    "eval_samples_per_second": 236.85,
+    "eval_steps_per_second": 8.167,
     "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:a8d1814f9a2a78b16e4712199b8d7c4e291d8b4dcea1e7cc5fb69e1c9c0c52d1
+oid sha256:f062b818ae9eaadee94fee5cc4752de8b20472c8889357875023f6793b994749
 size 499178808