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: 0.5091
-- Accuracy: 0.8220
+- Loss: 0.5004
+- Accuracy: 0.8269
 
 ## Model description
 
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.6771        | 1.0   | 26510  | 0.6352          | 0.7360   |
-| 0.6633        | 2.0   | 53020  | 0.5819          | 0.7646   |
-| 0.5362        | 3.0   | 79530  | 0.5248          | 0.7932   |
-| 0.4466        | 4.0   | 106040 | 0.5198          | 0.8121   |
-| 0.3886        | 5.0   | 132550 | 0.5091          | 0.8220   |
+| 0.6222        | 1.0   | 26721  | 0.6425          | 0.7424   |
+| 0.5253        | 2.0   | 53442  | 0.5840          | 0.7720   |
+| 0.4666        | 3.0   | 80163  | 0.5480          | 0.7959   |
+| 0.2633        | 4.0   | 106884 | 0.5039          | 0.8181   |
+| 0.2508        | 5.0   | 133605 | 0.5004          | 0.8269   |
 
 
 ### 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
-2025-04-07T11:05:46,codecarbon,736c09be-51f2-4270-8b9b-dc0b1e387939,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,21793.828189492226,0.39047380406020327,1.7916714799489336e-05,42.5,186.42425294851307,94.34470081329346,0.25708567687020156,2.8817499934536954,0.5706710325080956,3.709506702831985,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-48-generic-x86_64-with-glibc2.39,3.12.3,2.8.3,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58586883544922,machine,N,1.0
+2025-04-17T20:43:34,codecarbon,b3b235ad-c7c2-4aae-9bf8-6f06a3844b82,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,21964.696577124298,0.3937361711972296,1.7925864343935274e-05,42.5,181.96671727190795,94.34470081329346,0.25912773687640994,2.9061641099294206,0.5752073903167013,3.7404992371225365,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-48-generic-x86_64-with-glibc2.39,3.12.3,2.8.3,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58586883544922,machine,N,1.0