---
datasets:
- suchintikasarkar/sentiment-analysis-for-mental-health
language:
- en
library_name: transformers
license: apache-2.0
metrics:
- accuracy
- f1
pipeline_tag: question-answering
tags:
- mental_health
- llama-3.1
---

## Llama-3.1-8B-Instruct-Mental-Health-Classification
This model is a fine-tuned version of [meta-llama/Meta-Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3.1-8B-Instruct) on an [suchintikasarkar/sentiment-analysis-for-mental-health](https://www.kaggle.com/datasets/suchintikasarkar/sentiment-analysis-for-mental-health) dataset.

## Results

```bash
100%|██████████| 300/300 [03:24<00:00,  1.47it/s]

Accuracy: 0.913
Accuracy for label Normal: 0.972
Accuracy for label Depression: 0.913
Accuracy for label Anxiety: 0.667
Accuracy for label Bipolar: 0.800
```


**Classification Report:**

```bash
              precision    recall  f1-score   support

      Normal       0.92      0.97      0.95       143
  Depression       0.93      0.91      0.92       115
     Anxiety       0.75      0.67      0.71        27
     Bipolar       1.00      0.80      0.89        15

    accuracy                           0.91       300
   macro avg       0.90      0.84      0.87       300
weighted avg       0.91      0.91      0.91       300
```

**Confusion Matrix:**

```bash
[[139   3   1   0]
 [  5 105   5   0]
 [  6   3  18   0]
 [  1   2   0  12]]
```