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cwe-vulnerability-classification-roberta-base

Text Classification
Transformers
Safetensors
distilbert
Generated from Trainer
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  1. README.md +7 -7
  2. emissions.csv +1 -1
  3. model.safetensors +1 -1
README.md CHANGED
@@ -19,9 +19,9 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 4.0561
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- - Accuracy: 0.225
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- - F1: 0.0092
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  ## Model description
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@@ -52,10 +52,10 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 4.9374 | 1.0 | 23 | 4.5269 | 0.225 | 0.0092 |
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- | 4.2746 | 2.0 | 46 | 4.1863 | 0.225 | 0.0092 |
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- | 4.09 | 3.0 | 69 | 4.0813 | 0.225 | 0.0092 |
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- | 3.7992 | 4.0 | 92 | 4.0561 | 0.225 | 0.0092 |
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  ### Framework versions
 
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  This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 4.0281
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+ - Accuracy: 0.2375
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+ - F1: 0.0107
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 4.9632 | 1.0 | 23 | 4.5276 | 0.2375 | 0.0107 |
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+ | 4.351 | 2.0 | 46 | 4.1615 | 0.2375 | 0.0107 |
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+ | 4.0295 | 3.0 | 69 | 4.0535 | 0.2375 | 0.0107 |
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+ | 3.8685 | 4.0 | 92 | 4.0281 | 0.2375 | 0.0107 |
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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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