---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
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: 0.5475

## 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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.6338        | 0.07  | 100  | 0.5837          |
| 0.5848        | 0.14  | 200  | 0.5759          |
| 0.5692        | 0.21  | 300  | 0.5717          |
| 0.5649        | 0.28  | 400  | 0.5683          |
| 0.5585        | 0.35  | 500  | 0.5711          |
| 0.5658        | 0.41  | 600  | 0.5678          |
| 0.5639        | 0.48  | 700  | 0.5551          |
| 0.5579        | 0.55  | 800  | 0.5652          |
| 0.5641        | 0.62  | 900  | 0.5569          |
| 0.5574        | 0.69  | 1000 | 0.5562          |
| 0.5487        | 0.76  | 1100 | 0.5595          |
| 0.5547        | 0.83  | 1200 | 0.5536          |
| 0.5719        | 0.9   | 1300 | 0.5498          |
| 0.57          | 0.97  | 1400 | 0.5493          |
| 0.5451        | 1.04  | 1500 | 0.5536          |
| 0.537         | 1.1   | 1600 | 0.5502          |
| 0.5524        | 1.17  | 1700 | 0.5510          |
| 0.5397        | 1.24  | 1800 | 0.5502          |
| 0.538         | 1.31  | 1900 | 0.5476          |
| 0.5341        | 1.38  | 2000 | 0.5475          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Tokenizers 0.15.2