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vulnerability-severity-classification-roberta-base-expA

Text Classification
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Safetensors
roberta
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  1. README.md +7 -7
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -18,8 +18,8 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.1559
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- - Accuracy: 0.3766
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  ## Model description
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@@ -50,11 +50,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:------:|:---------------:|:--------:|
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- | 1.1521 | 1.0 | 29952 | 1.2259 | 0.3766 |
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- | 1.0813 | 2.0 | 59904 | 1.1410 | 0.3766 |
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- | 1.1229 | 3.0 | 89856 | 1.1490 | 0.3766 |
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- | 1.1758 | 4.0 | 119808 | 1.1433 | 0.3766 |
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- | 1.1702 | 5.0 | 149760 | 1.1559 | 0.3766 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5169
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+ - Accuracy: 0.8232
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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  |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 0.4999 | 1.0 | 29470 | 0.6657 | 0.7290 |
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+ | 0.5279 | 2.0 | 58940 | 0.5911 | 0.7685 |
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+ | 0.4775 | 3.0 | 88410 | 0.5392 | 0.7961 |
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+ | 0.3753 | 4.0 | 117880 | 0.5125 | 0.8122 |
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+ | 0.2537 | 5.0 | 147350 | 0.5169 | 0.8232 |
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  ### Framework versions
emissions.csv CHANGED
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  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
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model.safetensors CHANGED
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