---
license: apache-2.0
base_model: cross-encoder/stsb-roberta-base
tags:
- generated_from_trainer
model-index:
- name: crossencoder-stsb-roberta-base
  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-stsb-roberta-base

This model is a fine-tuned version of [cross-encoder/stsb-roberta-base](https://huggingface.co/cross-encoder/stsb-roberta-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0011

## 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0152        | 1.0   | 125  | 0.0099          |
| 0.0047        | 2.0   | 250  | 0.0013          |
| 0.0057        | 3.0   | 375  | 0.0025          |
| 0.0032        | 4.0   | 500  | 0.0027          |
| 0.0033        | 5.0   | 625  | 0.0164          |
| 0.0026        | 6.0   | 750  | 0.0002          |
| 0.0034        | 7.0   | 875  | 0.0035          |
| 0.002         | 8.0   | 1000 | 0.0057          |
| 0.002         | 9.0   | 1125 | 0.0016          |
| 0.0016        | 10.0  | 1250 | 0.0017          |


### Framework versions

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