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

# results

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: 0.5597
- Accuracy: 0.7971

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 7

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3591        | 1.0   | 199  | 0.5374          | 0.7866   |
| 0.4795        | 2.0   | 399  | 0.4847          | 0.7847   |
| 0.3843        | 3.0   | 598  | 0.4738          | 0.7866   |
| 0.3014        | 4.0   | 798  | 0.5597          | 0.7971   |
| 0.2365        | 5.0   | 997  | 0.7518          | 0.7395   |
| 0.1786        | 6.0   | 1197 | 0.7485          | 0.7847   |
| 0.0718        | 6.98  | 1393 | 0.9276          | 0.7835   |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2