metadata
datasets:
- LawInformedAI/claudette_tos
metrics:
- accuracy
- f1
base_model:
- nlpaueb/legal-bert-base-uncased
pipeline_tag: text-classification
LegalBert Base uncased model trained for sequence classification on whether a ToS is FAIR or UNFAIR We do not care about the unfairness type
{
"epoch": 0.999043062200957,
"eval_accuracy": 0.8990216209687161,
"eval_f1": 0.9094800950901479,
"eval_loss": 0.2566342055797577,
"eval_precision": 0.9323265263688336,
"eval_recall": 0.8990216209687161,
"eval_runtime": 895.4955,
"eval_samples_per_second": 9.245,
"eval_steps_per_second": 0.578,
"step": 261
}