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

# DistilBertPolitiFact

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7162
- Accuracy: 0.8616

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 57   | 0.3736          | 0.8428   |
| No log        | 2.0   | 114  | 0.4061          | 0.8553   |
| No log        | 3.0   | 171  | 0.5411          | 0.8742   |
| No log        | 4.0   | 228  | 0.5767          | 0.8491   |
| No log        | 5.0   | 285  | 0.5931          | 0.8616   |
| No log        | 6.0   | 342  | 0.6440          | 0.8742   |
| No log        | 7.0   | 399  | 0.6649          | 0.8742   |
| No log        | 8.0   | 456  | 0.7300          | 0.8491   |
| 0.0548        | 9.0   | 513  | 0.7114          | 0.8616   |
| 0.0548        | 10.0  | 570  | 0.7162          | 0.8616   |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2