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: 0.4991
-- Accuracy: 0.8220
+- Loss: 0.5089
+- Accuracy: 0.8172
 
 ## Model description
 
@@ -39,8 +39,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 3e-05
-- train_batch_size: 32
-- eval_batch_size: 32
+- train_batch_size: 24
+- eval_batch_size: 24
 - 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
@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.6222        | 1.0   | 14910 | 0.6437          | 0.7380   |
-| 0.5698        | 2.0   | 29820 | 0.5763          | 0.7693   |
-| 0.4436        | 3.0   | 44730 | 0.5286          | 0.7940   |
-| 0.4032        | 4.0   | 59640 | 0.5050          | 0.8121   |
-| 0.361         | 5.0   | 74550 | 0.4991          | 0.8220   |
+| 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   |
 
 
 ### 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
-2025-12-19T11:10:16,codecarbon,cdcdd756-635b-4f29-b0ec-e91c473aea02,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,13817.517110989002,0.6724297955654165,4.8665023546859696e-05,42.5,631.280587304452,755.7507834434509,0.16282157506733172,3.3303747298532085,2.8948963350898853,6.388092640010416,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,6.1661,49.7498,2015.3354225158691,machine,N,1.0
+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

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:5b923b4e0aeac38c104f51e5d71c12c5b924abec43d738dfa1e1ff9b320e8493
 size 498618976