---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: tuned_test_trainer-bert-base-uncased
  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. -->

# tuned_test_trainer-bert-base-uncased

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: 0.6178
- Rmse: 0.7287

## 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: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rmse   |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.7033        | 1.0   | 500  | 0.6323          | 0.6645 |
| 0.5289        | 2.0   | 1000 | 0.6178          | 0.7287 |
| 0.333         | 3.0   | 1500 | 0.7281          | 0.6512 |
| 0.2234        | 4.0   | 2000 | 1.0422          | 0.6663 |
| 0.1501        | 5.0   | 2500 | 1.2281          | 0.6914 |
| 0.0929        | 6.0   | 3000 | 1.5626          | 0.7082 |
| 0.0643        | 7.0   | 3500 | 1.6458          | 0.6950 |
| 0.0386        | 8.0   | 4000 | 1.8954          | 0.6863 |
| 0.0262        | 9.0   | 4500 | 1.9457          | 0.6925 |
| 0.0185        | 10.0  | 5000 | 1.9945          | 0.6793 |


### Framework versions

- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1