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: 0.4956
-- Accuracy: 0.8294
+- Loss: 0.5058
+- Accuracy: 0.8269
 
 ## Model description
 
@@ -50,16 +50,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step   | Validation Loss | Accuracy |
 |:-------------:|:-----:|:------:|:---------------:|:--------:|
-| 0.6174        | 1.0   | 26913  | 0.6369          | 0.7439   |
-| 0.5776        | 2.0   | 53826  | 0.5643          | 0.7777   |
-| 0.5285        | 3.0   | 80739  | 0.5198          | 0.8026   |
-| 0.4074        | 4.0   | 107652 | 0.4993          | 0.8198   |
-| 0.2624        | 5.0   | 134565 | 0.4956          | 0.8294   |
+| 0.6291        | 1.0   | 27084  | 0.6327          | 0.7463   |
+| 0.6025        | 2.0   | 54168  | 0.5640          | 0.7770   |
+| 0.5139        | 3.0   | 81252  | 0.5181          | 0.8016   |
+| 0.3072        | 4.0   | 108336 | 0.4975          | 0.8182   |
+| 0.2318        | 5.0   | 135420 | 0.5058          | 0.8269   |
 
 
 ### Framework versions
 
 - Transformers 4.51.3
 - Pytorch 2.7.0+cu126
-- Datasets 3.5.0
+- Datasets 3.6.0
 - Tokenizers 0.21.1

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
-2025-05-05T13:04:52,codecarbon,4e93da60-c02f-48cb-81ee-52aeae364584,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,22289.27175961435,0.39885643060794007,1.7894547426651375e-05,42.5,330.69648896037273,94.34470081329346,0.2629468895621533,2.942507891504448,0.5836869934214994,3.789141774488092,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-48-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58586883544922,machine,N,1.0
+2025-05-15T16:29:02,codecarbon,a0427070-b2ac-42a3-a26a-afd32efc7e56,5b0fa12a-3dd7-45bb-9766-cc326314d9f1,34918.766422379005,0.7132912489415533,2.0427160579315703e-05,42.5,592.3660989009531,94.34468364715576,0.4118040232016034,5.450364638621572,0.9141083675371564,6.776277029360299,Luxembourg,LUX,luxembourg,,,Linux-6.8.0-60-generic-x86_64-with-glibc2.39,3.12.3,2.8.4,64,AMD EPYC 9124 16-Core Processor,2,2 x NVIDIA L40S,6.1294,49.6113,251.58582305908203,machine,N,1.0

model.safetensors

@@ -1,3 +1,3 @@
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+oid sha256:c3b3a90563dd9cf7299e7590c3f498d39bedf7f4077398ce321ed2687d11d208
 size 498618976