---
base_model: mavinsao/mi-roberta-v2
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: mi-roberta-v2-finetuned-mental-illness
  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. -->

# mi-roberta-v2-finetuned-mental-illness

This model is a fine-tuned version of [mavinsao/mi-roberta-v2](https://huggingface.co/mavinsao/mi-roberta-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4985
- Accuracy: 0.8802
- F1: 0.8805

## 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: 1e-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
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|
| 0.553         | 1.0   | 2633  | 0.4073          | 0.8708   | 0.8719 |
| 0.359         | 2.0   | 5266  | 0.3919          | 0.8775   | 0.8778 |
| 0.2753        | 3.0   | 7899  | 0.4312          | 0.8771   | 0.8777 |
| 0.2153        | 4.0   | 10532 | 0.4715          | 0.8798   | 0.8797 |
| 0.1753        | 5.0   | 13165 | 0.4985          | 0.8802   | 0.8805 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2