This model is a fine-tuned version of typeform/distilbert-base-uncased-mnli on an unknown dataset.
It achieves the following results on the evaluation set:
Loss: 1.9139
Accuracy: 0.805
Model description
The Model is a better version of uncased-mnli for the evaluation of
Entailment
Contradiction
Neutral
Sentences based on theory.
Intended uses & limitations
Can we used with Hallucination detector Pipelines
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
