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 [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: 3.9126
-- Accuracy: 0.3068
-- F1: 0.0260
+- Loss: 4.2891
+- Accuracy: 0.4
+- F1: 0.0519
 
 ## Model description
 
@@ -52,11 +52,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 4.4073        | 1.0   | 20   | 4.3842          | 0.2045   | 0.0152 |
-| 3.9955        | 2.0   | 40   | 4.2450          | 0.2159   | 0.0174 |
-| 3.817         | 3.0   | 60   | 4.0731          | 0.2955   | 0.0272 |
-| 3.6016        | 4.0   | 80   | 3.9443          | 0.3068   | 0.0264 |
-| 3.4806        | 5.0   | 100  | 3.9126          | 0.3068   | 0.0260 |
+| No log        | 1.0   | 1    | 4.8834          | 0.35     | 0.0431 |
+| No log        | 2.0   | 2    | 4.6211          | 0.4      | 0.0519 |
+| No log        | 3.0   | 3    | 4.4458          | 0.4      | 0.0519 |
+| No log        | 4.0   | 4    | 4.3395          | 0.4      | 0.0519 |
+| No log        | 5.0   | 5    | 4.2891          | 0.4      | 0.0519 |
 
 
 ### 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
-2025-08-11T12:44:31,codecarbon,bf4c2181-7781-4f74-9acb-189188d4b80a,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,36.65349161345512,0.0006383718890232238,1.7416400482536406e-05,42.5,387.71532372512877,94.34468364715576,0.00043233476017485377,0.004672519849151513,0.0009596874332073231,0.006064542042533689,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
+2025-08-11T13:41:40,codecarbon,d3eb78ef-6ceb-4f6f-aeae-61d759cf93cf,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,8.940092894248664,0.0001304805933559951,1.4594993016228702e-05,42.5,362.55807173058076,94.34468364715576,0.00010548949982492356,0.0008999112755248007,0.00023416672088347366,0.0012395674962331978,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": 3.912595510482788,
-    "eval_accuracy": 0.3068181818181818,
-    "eval_f1": 0.02597844583096994,
-    "eval_runtime": 0.1748,
-    "eval_samples_per_second": 503.477,
-    "eval_steps_per_second": 17.164,
+    "eval_loss": 4.289130687713623,
+    "eval_accuracy": 0.4,
+    "eval_f1": 0.051948051948051945,
+    "eval_runtime": 0.0811,
+    "eval_samples_per_second": 246.553,
+    "eval_steps_per_second": 12.328,
     "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1be207ea8baf9bc7e2f20ea1dd803989945a6794271670e920f365d52327a8cf
+oid sha256:a19edfd6809fa6abf9c3621bebc214cc3ba10015c6fd8158a163cbdc7b7caf25
 size 334388184