---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
- precision
- recall
base_model: distilbert-base-cased
model-index:
- name: Transformers_Project
  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. -->

# This is prediction for Suicide and Non-Suicide: Label-1 is Suicide and Label-0 is Non-Suicide.

# Transformers_Project

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1389
- Accuracy: 0.9672
- F1: 0.9672
- Precision: 0.9676
- Recall: 0.9667
- Zero One Loss: 0.0328

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     | Precision | Recall | Zero One Loss |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:---------:|:------:|:-------------:|
| 0.2495        | 1.0   | 875  | 0.1397          | 0.9552   | 0.9563 | 0.9320    | 0.982  | 0.0448        |
| 0.0865        | 2.0   | 1750 | 0.1163          | 0.9692   | 0.9692 | 0.9696    | 0.9687 | 0.0308        |
| 0.0344        | 3.0   | 2625 | 0.1389          | 0.9672   | 0.9672 | 0.9676    | 0.9667 | 0.0328        |


### Framework versions

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