---
license: mit
tags:
- generated_from_trainer
model-index:
- name: mbti-career
  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. -->

# mbti-career

This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3516

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 300
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6547        | 0.59  | 100  | 0.6169          |
| 0.5967        | 1.18  | 200  | 0.5943          |
| 0.5872        | 1.76  | 300  | 0.5696          |
| 0.554         | 2.35  | 400  | 0.5287          |
| 0.5041        | 2.94  | 500  | 0.4890          |
| 0.4773        | 3.53  | 600  | 0.4895          |
| 0.4691        | 4.12  | 700  | 0.4840          |
| 0.4253        | 4.71  | 800  | 0.4573          |
| 0.4002        | 5.29  | 900  | 0.4240          |
| 0.3813        | 5.88  | 1000 | 0.4031          |
| 0.3561        | 6.47  | 1100 | 0.3943          |
| 0.3359        | 7.06  | 1200 | 0.3864          |
| 0.3126        | 7.65  | 1300 | 0.3889          |
| 0.2948        | 8.24  | 1400 | 0.3869          |
| 0.2816        | 8.82  | 1500 | 0.3788          |
| 0.2522        | 9.41  | 1600 | 0.3891          |
| 0.2451        | 10.0  | 1700 | 0.3849          |
| 0.2148        | 10.59 | 1800 | 0.3784          |
| 0.2132        | 11.18 | 1900 | 0.3716          |
| 0.1882        | 11.76 | 2000 | 0.3659          |
| 0.1754        | 12.35 | 2100 | 0.3737          |
| 0.169         | 12.94 | 2200 | 0.3711          |
| 0.1559        | 13.53 | 2300 | 0.3672          |
| 0.1537        | 14.12 | 2400 | 0.3391          |
| 0.1427        | 14.71 | 2500 | 0.3516          |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2