---
license: apache-2.0
base_model: cross-encoder/ms-marco-MiniLM-L-6-v2
tags:
- generated_from_trainer
model-index:
- name: crossencoder-marco-MiniLM-L-6-v2-refine
  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. -->

# crossencoder-marco-MiniLM-L-6-v2-refine

This model is a fine-tuned version of [cross-encoder/ms-marco-MiniLM-L-6-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-6-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0504

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 58.7177       | 1.0   | 63   | 37.5426         |
| 0.6125        | 2.0   | 126  | 0.4536          |
| 0.1224        | 3.0   | 189  | 0.0591          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.15.1