---
library_name: transformers
license: apache-2.0
base_model: sentence-transformers/all-MiniLM-L6-v2
tags:
- regression
- generated_from_trainer
model-index:
- name: stsb-all-MiniLM-L6-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. -->

# stsb-all-MiniLM-L6-v2

This model is a fine-tuned version of [sentence-transformers/all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0315
- Pearson: 0.8255

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Pearson |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| No log        | 1.0   | 360  | 0.0377          | 0.7822  |
| 0.0459        | 2.0   | 720  | 0.0407          | 0.8071  |
| 0.0213        | 3.0   | 1080 | 0.0341          | 0.8171  |
| 0.0213        | 4.0   | 1440 | 0.0304          | 0.8264  |
| 0.0157        | 5.0   | 1800 | 0.0315          | 0.8255  |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0