End of training

README.md

@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5008
-- Accuracy: 0.8272
+- Loss: 0.5087
+- Accuracy: 0.8286
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.7147        | 1.0   | 26851  | 0.6525          | 0.7324   |
-| 0.5133        | 2.0   | 53702  | 0.5803          | 0.7693   |
-| 0.4534        | 3.0   | 80553  | 0.5314          | 0.7969   |
-| 0.3721        | 4.0   | 107404 | 0.5030          | 0.8183   |
-| 0.2978        | 5.0   | 134255 | 0.5008          | 0.8272   |
+| 0.6379        | 1.0   | 26871  | 0.6473          | 0.7292   |
+| 0.4942        | 2.0   | 53742  | 0.5829          | 0.7669   |
+| 0.4624        | 3.0   | 80613  | 0.5428          | 0.7982   |
+| 0.3467        | 4.0   | 107484 | 0.5104          | 0.8187   |
+| 0.4102        | 5.0   | 134355 | 0.5087          | 0.8286   |
 
 
 ### 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
-2025-04-28T13:40:46,codecarbon,c715ed1f-a988-4f23-a458-9522ca614c8a,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,22246.894596571103,0.39704568373654014,1.784724074692818e-05,42.5,175.54676399984314,94.34470081329346,0.2624518737546004,2.926899614017856,0.5825881656341594,3.771939653406611,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-48-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58586883544922,machine,N,1.0
+2025-04-30T12:03:15,codecarbon,d4239479-931a-44ec-b579-857001bd3485,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,22291.09947314672,0.3980622433512762,1.785745220108175e-05,42.5,350.6976920332212,94.34470081329346,0.26297261152170354,2.9348807245693536,0.5837436481415417,3.7815969842326003,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-48-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58586883544922,machine,N,1.0