---
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
model-index:
- name: elvis_bert_base
  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. -->

# elvis_bert_base

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6325
- Rmse: 0.6731

## 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: 3e-05
- train_batch_size: 8
- 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   |
|:-------------:|:-----:|:-----:|:---------------:|:------:|
| 0.6635        | 1.0   | 1000  | 0.6325          | 0.6731 |
| 0.5302        | 2.0   | 2000  | 0.6340          | 0.6797 |
| 0.3606        | 3.0   | 3000  | 0.9009          | 0.6481 |
| 0.2501        | 4.0   | 4000  | 1.4259          | 0.6671 |
| 0.1369        | 5.0   | 5000  | 1.6598          | 0.6823 |
| 0.0979        | 6.0   | 6000  | 1.8117          | 0.6477 |
| 0.0495        | 7.0   | 7000  | 1.9325          | 0.6504 |
| 0.0388        | 8.0   | 8000  | 2.0611          | 0.6745 |
| 0.0321        | 9.0   | 9000  | 2.1235          | 0.6734 |
| 0.0233        | 10.0  | 10000 | 2.1389          | 0.6618 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3