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vulnerability-severity-classification-roberta-base-expC

Text Classification
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Safetensors
roberta
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xet
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  1. README.md +13 -11
  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: 0.4904
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- - Accuracy: 0.8346
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  ## Model description
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@@ -44,18 +44,20 @@ The following hyperparameters were used during training:
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - num_epochs: 6
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  ### Training results
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- | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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- |:-------------:|:-----:|:-----:|:---------------:|:--------:|
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- | 0.6329 | 1.0 | 14844 | 0.6351 | 0.7386 |
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- | 0.6039 | 2.0 | 29688 | 0.5736 | 0.7674 |
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- | 0.4798 | 3.0 | 44532 | 0.5281 | 0.7903 |
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- | 0.5476 | 4.0 | 59376 | 0.4900 | 0.8133 |
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- | 0.3206 | 5.0 | 74220 | 0.4823 | 0.8299 |
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- | 0.2913 | 6.0 | 89064 | 0.4904 | 0.8346 |
 
 
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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: 0.5068
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+ - Accuracy: 0.8484
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  ## Model description
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - num_epochs: 8
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  ### Training results
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:------:|:---------------:|:--------:|
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+ | 0.661 | 1.0 | 14844 | 0.6385 | 0.7360 |
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+ | 0.5927 | 2.0 | 29688 | 0.5854 | 0.7616 |
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+ | 0.5032 | 3.0 | 44532 | 0.5394 | 0.7890 |
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+ | 0.5241 | 4.0 | 59376 | 0.5038 | 0.8080 |
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+ | 0.3666 | 5.0 | 74220 | 0.4894 | 0.8245 |
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+ | 0.3042 | 6.0 | 89064 | 0.4862 | 0.8347 |
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+ | 0.3709 | 7.0 | 103908 | 0.4872 | 0.8447 |
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+ | 0.1723 | 8.0 | 118752 | 0.5068 | 0.8484 |
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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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