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: 0.5039
-- Accuracy: 0.8253
+- Loss: 0.5175
+- Accuracy: 0.8230
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.5653        | 1.0   | 29952  | 0.6222          | 0.7460   |
-| 0.4635        | 2.0   | 59904  | 0.5755          | 0.7755   |
-| 0.4721        | 3.0   | 89856  | 0.5228          | 0.8027   |
-| 0.4764        | 4.0   | 119808 | 0.5117          | 0.8178   |
-| 0.2367        | 5.0   | 149760 | 0.5039          | 0.8253   |
+| 0.5379        | 1.0   | 29470  | 0.6573          | 0.7358   |
+| 0.5714        | 2.0   | 58940  | 0.5810          | 0.7710   |
+| 0.4636        | 3.0   | 88410  | 0.5412          | 0.7918   |
+| 0.4738        | 4.0   | 117880 | 0.5098          | 0.8131   |
+| 0.2801        | 5.0   | 147350 | 0.5175          | 0.8230   |
 
 
 ### 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
-2025-11-27T02:09:21,codecarbon,d2aa9891-7d5e-4d0b-a144-e293c6fee600,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,18300.168969716004,0.7645253406843606,4.1776955281097886e-05,42.5,401.67939224520956,755.7507977485657,0.21585928676706143,3.2092093215320707,3.8379330227047492,7.263001631003871,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+,2,2 x NVIDIA H100 NVL,6.1661,49.7498,2015.3354606628418,machine,N,1.0
+2025-12-10T14:27:27,codecarbon,bebf79df-4daf-4c49-86c1-c1f4e406acd9,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,17838.959355348954,0.7474642940751101,4.190066691591992e-05,42.5,469.2600301426673,755.7507977485657,0.21042041378611692,3.1492306418824896,3.741270389427118,7.100921445095713,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+,2,2 x NVIDIA H100 NVL,6.1661,49.7498,2015.3354606628418,machine,N,1.0

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:af6c020730b7f8f4f0e1798f4907e0be199570db4607cae32a155f0d450e085b
 size 498618976