---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilbert_pork_classifier
  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. -->

# distilbert_pork_classifier

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: 0.0066
- F1: 0.9667

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.0406        | 1.0   | 760  | 0.0126          | 0.8727 |
| 0.0083        | 2.0   | 1520 | 0.0061          | 0.9667 |
| 0.0017        | 3.0   | 2280 | 0.0061          | 0.9667 |
| 0.0005        | 4.0   | 3040 | 0.0064          | 0.9667 |
| 0.0001        | 5.0   | 3800 | 0.0066          | 0.9667 |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.13.1+cu116
- Datasets 2.19.0
- Tokenizers 0.13.3