---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: hw1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 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: 0.9151
- Matthews Correlation: 0.5294

## 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: 1.2246998000876558e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 6
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4949        | 1.0   | 1069 | 0.4726          | 0.4647               |
| 0.3651        | 2.0   | 2138 | 0.5118          | 0.5239               |
| 0.2996        | 3.0   | 3207 | 0.7391          | 0.5299               |
| 0.2181        | 4.0   | 4276 | 0.8309          | 0.5139               |
| 0.1807        | 5.0   | 5345 | 0.9151          | 0.5294               |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1