---
license: mit
base_model: microsoft/MiniLM-L12-H384-uncased
tags:
- generated_from_trainer
model-index:
- name: midjourney-rank
  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. -->

# midjourney-rank

This model is a fine-tuned version of [microsoft/MiniLM-L12-H384-uncased](https://huggingface.co./microsoft/MiniLM-L12-H384-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0509
- Mse: 0.0509

## 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: 32
- eval_batch_size: 8
- seed: 42
- 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 | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.061         | 0.34  | 100  | 0.0565          | 0.0565 |
| 0.0544        | 0.67  | 200  | 0.0562          | 0.0562 |
| 0.0585        | 1.01  | 300  | 0.0509          | 0.0509 |
| 0.0508        | 1.34  | 400  | 0.0523          | 0.0523 |
| 0.0508        | 1.68  | 500  | 0.0518          | 0.0518 |
| 0.0465        | 2.01  | 600  | 0.0509          | 0.0509 |
| 0.0449        | 2.35  | 700  | 0.0526          | 0.0526 |
| 0.0398        | 2.68  | 800  | 0.0509          | 0.0509 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3