---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: test0415
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test0415

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: 1.4830
- Matthews Correlation: 0.5390

## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.0529        | 1.0   | 535  | 1.2283          | 0.5271               |
| 0.0445        | 2.0   | 1070 | 1.2380          | 0.5252               |
| 0.0381        | 3.0   | 1605 | 1.3019          | 0.5617               |
| 0.0299        | 4.0   | 2140 | 1.4680          | 0.5341               |
| 0.0227        | 5.0   | 2675 | 1.4830          | 0.5390               |


### Framework versions

- Transformers 5.5.4
- Pytorch 2.10.0+cu128
- Datasets 2.21.0
- Tokenizers 0.22.2