---
library_name: transformers
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: working
  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. -->

# working

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: 0.0002
- Accuracy: 1.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 80   | 0.0041          | 1.0      |
| No log        | 2.0   | 160  | 0.0012          | 1.0      |
| No log        | 3.0   | 240  | 0.0007          | 1.0      |
| No log        | 4.0   | 320  | 0.0004          | 1.0      |
| No log        | 5.0   | 400  | 0.0003          | 1.0      |
| No log        | 6.0   | 480  | 0.0002          | 1.0      |
| 0.0303        | 7.0   | 560  | 0.0002          | 1.0      |
| 0.0303        | 8.0   | 640  | 0.0002          | 1.0      |
| 0.0303        | 9.0   | 720  | 0.0002          | 1.0      |
| 0.0303        | 10.0  | 800  | 0.0002          | 1.0      |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0