---
license: apache-2.0
base_model: cross-encoder/stsb-roberta-large
tags:
- generated_from_trainer
model-index:
- name: crossencoder-airline-refine-010
  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-airline-refine-010

This model is a fine-tuned version of [cross-encoder/stsb-roberta-large](https://huggingface.co/cross-encoder/stsb-roberta-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 8.0523

## 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-08
- 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: cosine
- lr_scheduler_warmup_steps: 500
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 15.341        | 1.0   | 157  | 14.5631         |
| 12.2879       | 2.0   | 314  | 13.3058         |
| 12.5681       | 3.0   | 471  | 11.4717         |
| 12.8002       | 4.0   | 628  | 9.8398          |
| 10.1409       | 5.0   | 785  | 8.8337          |
| 9.4818        | 6.0   | 942  | 8.1771          |
| 9.277         | 7.0   | 1099 | 7.7594          |
| 9.2643        | 8.0   | 1256 | 7.5311          |
| 8.7124        | 9.0   | 1413 | 7.4428          |
| 8.9775        | 10.0  | 1570 | 7.4347          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.0.1
- Datasets 2.17.1
- Tokenizers 0.15.2