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

# learn_hf_food_not_food_text_classifier-distilbert-base-uncased

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: 0.0006
- Accuracy: 1.0

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.3264        | 1.0   | 9    | 0.0895          | 0.9709   |
| 0.0372        | 2.0   | 18   | 0.0223          | 0.9964   |
| 0.0225        | 3.0   | 27   | 0.0022          | 1.0      |
| 0.0023        | 4.0   | 36   | 0.0015          | 1.0      |
| 0.0015        | 5.0   | 45   | 0.0010          | 1.0      |
| 0.0012        | 6.0   | 54   | 0.0008          | 1.0      |
| 0.0009        | 7.0   | 63   | 0.0007          | 1.0      |
| 0.0008        | 8.0   | 72   | 0.0006          | 1.0      |
| 0.0009        | 9.0   | 81   | 0.0006          | 1.0      |
| 0.0007        | 10.0  | 90   | 0.0006          | 1.0      |


### Framework versions

- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1