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
}
- Downloads last month
- 3
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
HF Inference API was unable to determine this model's library.
Model tree for kaantureyyen/legal-bert-claudette-fair-unfair
Base model
nlpaueb/legal-bert-base-uncased