---
license: apache-2.0
base_model: bert-base-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 [bert-base-uncased](https://huggingface.co./bert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0497
- Mse: 0.0497

## 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Mse    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0591        | 0.34  | 100  | 0.0556          | 0.0556 |
| 0.0569        | 0.67  | 200  | 0.0537          | 0.0537 |
| 0.0543        | 1.01  | 300  | 0.0500          | 0.0500 |
| 0.0437        | 1.34  | 400  | 0.0566          | 0.0566 |
| 0.0432        | 1.68  | 500  | 0.0497          | 0.0497 |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Tokenizers 0.13.3