|
--- |
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datasets: |
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- LawInformedAI/claudette_tos |
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metrics: |
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- accuracy |
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- f1 |
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base_model: |
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- nlpaueb/legal-bert-base-uncased |
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pipeline_tag: text-classification |
|
--- |
|
LegalBert Base uncased model trained for sequence classification on whether a ToS is FAIR or UNFAIR |
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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 |
|
} |
