End of training

README.md

@@ -1,6 +1,6 @@
 ---
 library_name: transformers
-license: cc-by-4.0
+license: mit
 base_model: roberta-base
 tags:
 - generated_from_trainer
@@ -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: 0.5071
-- Accuracy: 0.8173
+- Loss: 0.4904
+- Accuracy: 0.8346
 
 ## Model description
 
@@ -44,17 +44,18 @@ The following hyperparameters were used during training:
 - 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
-- num_epochs: 5
+- num_epochs: 6
 
 ### Training results
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 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   |
+| 0.6329        | 1.0   | 14844 | 0.6351          | 0.7386   |
+| 0.6039        | 2.0   | 29688 | 0.5736          | 0.7674   |
+| 0.4798        | 3.0   | 44532 | 0.5281          | 0.7903   |
+| 0.5476        | 4.0   | 59376 | 0.4900          | 0.8133   |
+| 0.3206        | 5.0   | 74220 | 0.4823          | 0.8299   |
+| 0.2913        | 6.0   | 89064 | 0.4904          | 0.8346   |
 
 
 ### 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
-2025-12-10T13:17:28,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
+2025-12-15T10:52:19,codecarbon,4fcc5348-2a70-4d37-acda-01e5432abf6e,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,16595.81495058094,0.806198865975979,4.85784439255728e-05,42.5,358.42037678462157,755.7507891654968,0.1955609792225324,3.986439022482002,3.476900713418342,7.658900715122872,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 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:56fa88913c409f6ce38cd8a43a982ab9d87cf9d3cb478bf536fc6be3708c63af
+oid sha256:9fe39520bb6ca51d408b16ee85d522c0dd86525b3a00ef43946449945180f402
 size 498618976