---
library_name: transformers
license: apache-2.0
base_model: cross-encoder/nli-MiniLM2-L6-H768
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: nli-MiniLM2-L6-H768-answerable-or-not-augmented
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nli-MiniLM2-L6-H768-answerable-or-not-augmented

This model is a fine-tuned version of [cross-encoder/nli-MiniLM2-L6-H768](https://huggingface.co/cross-encoder/nli-MiniLM2-L6-H768) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2847
- Accuracy: 0.8943

## Model description

More information needed

## Intended uses & limitations

More information needed

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3594        | 1.0   | 1367 | 0.3341          | 0.8771   |
| 0.2777        | 2.0   | 2734 | 0.2861          | 0.8954   |
| 0.1927        | 3.0   | 4101 | 0.2930          | 0.9195   |
| 0.1680        | 4.0   | 5468 | 0.3255          | 0.9228   |
| 0.1006        | 5.0   | 6835 | 0.3663          | 0.9202   |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0+cu128
- Datasets 4.5.0
- Tokenizers 0.22.2