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: 0.4857
-- Accuracy: 0.8246
+- Loss: 0.5071
+- Accuracy: 0.8173
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6425        | 1.0   | 14976 | 0.6224          | 0.7470   |
-| 0.5791        | 2.0   | 29952 | 0.5606          | 0.7748   |
-| 0.4643        | 3.0   | 44928 | 0.5173          | 0.7979   |
-| 0.4282        | 4.0   | 59904 | 0.4955          | 0.8175   |
-| 0.2652        | 5.0   | 74880 | 0.4857          | 0.8246   |
+| 0.627         | 1.0   | 14735 | 0.6594          | 0.7298   |
+| 0.5675        | 2.0   | 29470 | 0.5780          | 0.7693   |
+| 0.469         | 3.0   | 44205 | 0.5363          | 0.7930   |
+| 0.4373        | 4.0   | 58940 | 0.5069          | 0.8107   |
+| 0.3793        | 5.0   | 73675 | 0.5071          | 0.8173   |
 
 
 ### 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
-2025-11-27T00:56:58,codecarbon,c7c4b983-9c65-4705-baa3-f4060db95da6,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,14025.962090314992,0.6797344114213598,4.846258723961049e-05,42.5,648.320803546605,755.7507891654968,0.16529338886481001,3.3533296365504515,2.938863569317558,6.45748659473281,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
+2025-12-10T13:17:28,codecarbon,a3610e18-6282-4002-831e-66e8a4cfc8f8,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13783.844413558021,0.6688995601596839,4.85277938498597e-05,42.5,581.3343903318448,755.7507891654968,0.16242797238704393,3.304215943926195,2.887911437036788,6.354555353350026,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

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:ed310435a9adda6e79309578bd505e371fc55a545abdbe33b7e06fe4cbfd12eb
 size 498618976