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: 3.4895
-- Accuracy: 0.4368
-- F1: 0.0312
+- Loss: 4.8358
+- Accuracy: 0.25
+- F1: 0.0679
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 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 |
+| No log        | 1.0   | 1    | 5.1228          | 0.15     | 0.0789 |
+| No log        | 2.0   | 2    | 5.0219          | 0.15     | 0.0160 |
+| No log        | 3.0   | 3    | 4.9351          | 0.15     | 0.0163 |
+| No log        | 4.0   | 4    | 4.8705          | 0.25     | 0.0679 |
+| No log        | 5.0   | 5    | 4.8358          | 0.25     | 0.0679 |
 
 
 ### 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
-2025-08-11T12:41:57,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
+2025-08-11T13:39:33,codecarbon,01f9bae2-2754-40dd-abd7-6628c4f04dcc,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13.168634534813464,0.00019844903695297192,1.5069826444673444e-05,42.5,378.892651555588,94.34468364715576,0.00015535850237033123,0.0013850438857900826,0.0003448662907958376,0.0018852686789562515,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": 3.489516258239746,
-    "eval_accuracy": 0.4367816091954023,
-    "eval_f1": 0.03123067408781694,
-    "eval_runtime": 0.3673,
-    "eval_samples_per_second": 236.85,
-    "eval_steps_per_second": 8.167,
+    "eval_loss": 4.835766792297363,
+    "eval_accuracy": 0.25,
+    "eval_f1": 0.06785714285714287,
+    "eval_runtime": 0.103,
+    "eval_samples_per_second": 194.189,
+    "eval_steps_per_second": 9.709,
     "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4373ea855e8630a41962673c93940691ca42da6037d907fd93bdfb8463f6461c
+oid sha256:b18ee622fa9824dc712a802fb7a7ff04506c4ffb2bdae8277e074b4c1d11b77e
 size 499178808