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nli_model_results
TheMLsewage/nli_model_results
nli_model_results is a text classification model from TheMLsewage. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- distilbert
- Access
- Public
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026
- SHA
- d21536da
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
nli_model_results
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
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 157 | 1.6075 | 0.808 |
| No log | 2.0 | 314 | 1.7477 | 0.811 |
| No log | 3.0 | 471 | 1.9139 | 0.805 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.8.3
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- Created
- Jun 22, 2026
- Updated
- Jun 22, 2026