---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: test26112024
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# test26112024

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: 0.6049
- Matthews Correlation: 0.0

## 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: 1.206761294316677e-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 8
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6231        | 1.0   | 535  | 0.6119          | 0.0                  |
| 0.5977        | 2.0   | 1070 | 0.6049          | 0.0                  |


### Framework versions

- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 2.21.0
- Tokenizers 0.20.3