---
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: distilroberta-base-culinary
  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. -->

# distilroberta-base-culinary

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1049
- F1: 0.9849

## 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: 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: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1718        | 0.5   | 500  | 0.0960          | 0.9819 |
| 0.1554        | 1.0   | 1000 | 0.0701          | 0.9819 |
| 0.0752        | 1.51  | 1500 | 0.1325          | 0.9699 |
| 0.0669        | 2.01  | 2000 | 0.0880          | 0.9849 |
| 0.0312        | 2.51  | 2500 | 0.1450          | 0.9759 |
| 0.0287        | 3.01  | 3000 | 0.0962          | 0.9819 |
| 0.0098        | 3.51  | 3500 | 0.1049          | 0.9849 |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1