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: 4.3345
-- Accuracy: 0.1685
-- F1: 0.0060
+- Loss: 3.6247
+- Accuracy: 0.4091
+- F1: 0.0535
 
 ## Model description
 
@@ -40,19 +40,23 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 40
+- eval_batch_size: 40
 - 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
+- num_epochs: 5
 - 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 |
+| 4.4681        | 1.0   | 20   | 4.1164          | 0.2159   | 0.0083 |
+| 4.015         | 2.0   | 40   | 4.0152          | 0.3409   | 0.0264 |
+| 3.7805        | 3.0   | 60   | 3.7930          | 0.375    | 0.0293 |
+| 3.5834        | 4.0   | 80   | 3.6496          | 0.3864   | 0.0288 |
+| 3.4556        | 5.0   | 100  | 3.6247          | 0.4091   | 0.0535 |
 
 
 ### 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
-2025-08-11T09:45:12,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
+2025-08-11T10:19:46,codecarbon,9f55ce0f-9c24-4b8a-87bd-12ffb4735cc0,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,33.95569324027747,0.0005908333174972222,1.7400125313783587e-05,42.5,427.54523859736616,94.34468364715576,0.00040055365950037315,0.004323224569674267,0.0008891467064363745,0.005612924935611014,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": 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
+    "eval_loss": 3.6246719360351562,
+    "eval_accuracy": 0.4090909090909091,
+    "eval_f1": 0.05352666218744808,
+    "eval_runtime": 0.232,
+    "eval_samples_per_second": 379.332,
+    "eval_steps_per_second": 12.932,
+    "epoch": 5.0
 }

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:82f8f38a453fa6b8f7e2d0119b5b176c35e9b9fc404238419c3778eebe8dda66
 size 334388184