---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: delivery-balanced-distilbert-base-uncased-v4
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# delivery-balanced-distilbert-base-uncased-v4

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7812
- Accuracy: 0.7047

## 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: 45
- eval_batch_size: 45
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.0032        | 1.0   | 508  | 0.8637          | 0.6611   |
| 0.5499        | 2.0   | 1016 | 0.8312          | 0.6679   |
| 0.4515        | 3.0   | 1524 | 0.8931          | 0.6486   |
| 0.3779        | 4.0   | 2032 | 0.8600          | 0.6757   |
| 0.3332        | 5.0   | 2540 | 0.7812          | 0.7047   |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1