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: 0.4816
-- Accuracy: 0.8291
+- Loss: 0.4967
+- Accuracy: 0.8231
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6353        | 1.0   | 14976 | 0.6263          | 0.7488   |
-| 0.5703        | 2.0   | 29952 | 0.5596          | 0.7794   |
-| 0.4598        | 3.0   | 44928 | 0.5079          | 0.8037   |
-| 0.3756        | 4.0   | 59904 | 0.4848          | 0.8207   |
-| 0.2471        | 5.0   | 74880 | 0.4816          | 0.8291   |
+| 0.6464        | 1.0   | 14735 | 0.6443          | 0.7321   |
+| 0.5617        | 2.0   | 29470 | 0.5648          | 0.7738   |
+| 0.452         | 3.0   | 44205 | 0.5298          | 0.7950   |
+| 0.3923        | 4.0   | 58940 | 0.4967          | 0.8152   |
+| 0.3352        | 5.0   | 73675 | 0.4967          | 0.8231   |
 
 
 ### Framework versions
 
-- Transformers 4.57.1
+- Transformers 4.57.3
 - Pytorch 2.9.1+cu128
 - Datasets 4.4.1
 - Tokenizers 0.22.1

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
-2025-11-25T16:19:49,codecarbon,aaf6423e-7493-41a9-858d-a5e265a64aae,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13852.229487212,0.6737052965391285,4.863515271394217e-05,42.5,368.36674694097474,755.7507891654968,0.16323872886144283,3.334605714626882,2.9023654739482674,6.400209917436596,Luxembourg,LUX,,,,Linux-6.8.0-88-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,224,Intel(R) Xeon(R) Platinum 8480+,4,4 x NVIDIA L40S,6.1661,49.7498,2015.3354377746582,machine,N,1.0
+2025-12-05T10:57:07,codecarbon,3a2f1d33-0e2c-4e9b-a1ca-552063dad7f5,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13796.898261377006,0.6697055392456417,4.854029699707313e-05,42.5,437.22864961201935,755.7507891654968,0.16258523849667095,3.308908435180182,2.890718492474985,6.362212166151845,Luxembourg,LUX,,,,Linux-6.8.0-88-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,224,Intel(R) Xeon(R) Platinum 8480+,4,4 x NVIDIA L40S,6.1661,49.7498,2015.3354377746582,machine,N,1.0