---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: bert_nli_ensemble
  results: []
---

<!-- 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. -->

# bert_nli_ensemble

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1080
- Accuracy: 0.8434

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3935        | 1.0   | 1527 | 0.4004          | 0.8227   |
| 0.2173        | 2.0   | 3054 | 0.5325          | 0.8358   |
| 0.0854        | 3.0   | 4581 | 0.8695          | 0.8377   |
| 0.0136        | 4.0   | 6108 | 1.1080          | 0.8434   |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.8.0.dev20250326+cu128
- Datasets 3.5.0
- Tokenizers 0.21.1