---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: mental_classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# mental_classification

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5913
- Accuracy: 0.8815

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

### Training results

| Training Loss | Epoch   | Step | Validation Loss | Accuracy |
|:-------------:|:-------:|:----:|:---------------:|:--------:|
| 2.2665        | 1.5038  | 197  | 1.6089          | 0.5908   |
| 1.1385        | 3.0076  | 394  | 1.0268          | 0.7610   |
| 0.5896        | 4.5115  | 591  | 0.7455          | 0.8394   |
| 0.3186        | 6.0153  | 788  | 0.6275          | 0.8566   |
| 0.1691        | 7.5191  | 985  | 0.5975          | 0.8719   |
| 0.0971        | 9.0229  | 1182 | 0.5844          | 0.8623   |
| 0.0597        | 10.5267 | 1379 | 0.5824          | 0.8757   |
| 0.0418        | 12.0305 | 1576 | 0.5894          | 0.8776   |
| 0.0334        | 13.5344 | 1773 | 0.5913          | 0.8815   |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1