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: 0.5089
-- Accuracy: 0.8172
+- Loss: 0.5053
+- Accuracy: 0.8195
 
 ## Model description
 
@@ -39,8 +39,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 24
-- eval_batch_size: 24
+- train_batch_size: 32
+- eval_batch_size: 32
 - seed: 42
 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
 - lr_scheduler_type: linear
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6253        | 1.0   | 19925 | 0.6421          | 0.7414   |
-| 0.5716        | 2.0   | 39850 | 0.5873          | 0.7678   |
-| 0.5358        | 3.0   | 59775 | 0.5411          | 0.7885   |
-| 0.4572        | 4.0   | 79700 | 0.5065          | 0.8079   |
-| 0.3103        | 5.0   | 99625 | 0.5089          | 0.8172   |
+| 0.6458        | 1.0   | 14962 | 0.6352          | 0.7394   |
+| 0.4643        | 2.0   | 29924 | 0.5741          | 0.7702   |
+| 0.5519        | 3.0   | 44886 | 0.5261          | 0.7922   |
+| 0.3822        | 4.0   | 59848 | 0.5054          | 0.8111   |
+| 0.344         | 5.0   | 74810 | 0.5053          | 0.8195   |
 
 
 ### Framework versions
 
 - Transformers 4.57.3
 - Pytorch 2.9.1+cu128
-- Datasets 4.4.1
+- Datasets 4.4.2
 - 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
-2025-12-24T17:11:32,codecarbon,aebd8f0c-5188-496e-a8f0-052694d6ddef,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,17211.53679475299,0.7419395965197659,4.3107109223735876e-05,42.5,266.2795884223949,755.7507834434509,0.20285793294097065,3.2387516079436622,3.6068271987082583,7.048436739592885,Luxembourg,LUX,,,,Linux-6.8.0-90-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,224,Intel(R) Xeon(R) Platinum 8480+,3,3 x NVIDIA L40S,6.1661,49.7498,2015.3354225158691,machine,N,1.0
+2025-12-27T02:30:50,codecarbon,053a0694-69e4-4f2a-b6b7-c48517c95402,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13934.410282625999,0.6770843193932654,4.859081264726949e-05,42.5,598.0692513088488,755.7507977485657,0.16420767100260394,3.3485438799440677,2.919559131755385,6.432310682702044,Luxembourg,LUX,,,,Linux-6.8.0-90-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,224,Intel(R) Xeon(R) Platinum 8480+,4,4 x NVIDIA L40S,6.1661,49.7498,2015.3354606628418,machine,N,1.0