---
license: apache-2.0
base_model: cross-encoder/ms-marco-MiniLM-L-12-v2
tags:
- generated_from_trainer
library_name: sentence-transformers
pipeline_tag: text-ranking
model-index:
- name: crossencoder-ms-marco-MiniLM-L-12-v2
  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-ms-marco-MiniLM-L-12-v2

This model is a fine-tuned version of [cross-encoder/ms-marco-MiniLM-L-12-v2](https://huggingface.co/cross-encoder/ms-marco-MiniLM-L-12-v2) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0519

## 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: 100
- eval_batch_size: 80
- 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 84.3752       | 1.0   | 20   | 95.6720         |
| 34.7287       | 2.0   | 40   | 37.5520         |
| 17.736        | 3.0   | 60   | 13.6402         |
| 4.518         | 4.0   | 80   | 3.1808          |
| 1.2747        | 5.0   | 100  | 1.0527          |
| 0.3802        | 6.0   | 120  | 0.2666          |
| 0.1429        | 7.0   | 140  | 0.0969          |
| 0.0894        | 8.0   | 160  | 0.0368          |
| 0.0534        | 9.0   | 180  | 0.0403          |
| 0.0382        | 10.0  | 200  | 0.0497          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.1
- Datasets 2.17.1
- Tokenizers 0.15.2