---
license: apache-2.0
base_model: distilbert-base-cased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: liar_binaryclassifier_distilbert_cased
  results: []
---

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

This model is a fine-tuned version of [distilbert-base-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6381
- Accuracy: 0.6421

## 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: 3e-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.683         | 1.0   | 461  | 0.6589          | 0.6030   |
| 0.6441        | 2.0   | 922  | 0.6351          | 0.6356   |
| 0.6179        | 3.0   | 1383 | 0.6339          | 0.6291   |
| 0.6011        | 4.0   | 1844 | 0.6351          | 0.6399   |
| 0.5897        | 5.0   | 2305 | 0.6381          | 0.6421   |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1