---
license: mit
base_model: BAAI/bge-base-en-v1.5
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: yingchuanong_582_competition
  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. -->

# yingchuanong_582_competition

This model is a fine-tuned version of [BAAI/bge-base-en-v1.5](https://huggingface.co./BAAI/bge-base-en-v1.5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2288
- F1: 0.5191

## 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: 8
- seed: 124
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.2052        | 1.0   | 80   | 1.4301          | 0.5066 |
| 0.0428        | 2.0   | 160  | 2.1443          | 0.5332 |
| 0.0022        | 3.0   | 240  | 2.2288          | 0.5191 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0