---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: AIA_B_HW1
  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. -->

# AIA_B_HW1

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7819
- Matthews Correlation: 0.5382

## 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: 2.9425471811084e-05
- train_batch_size: 32
- eval_batch_size: 16
- seed: 22
- 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 | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 268  | 0.5090          | 0.4244               |
| 0.431         | 2.0   | 536  | 0.4669          | 0.5179               |
| 0.431         | 3.0   | 804  | 0.5552          | 0.5260               |
| 0.1892        | 4.0   | 1072 | 0.7417          | 0.5158               |
| 0.1892        | 5.0   | 1340 | 0.7819          | 0.5382               |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2