---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: distilroberta-base-culinary
  results: []
---

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# distilroberta-base-culinary

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

## 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 |
|:-------------:|:-----:|:------:|:---------------:|
| 1.3161        | 1.0   | 73038  | 1.3425          |
| 1.1902        | 2.0   | 146076 | 1.2345          |
| 1.2465        | 3.0   | 219114 | 1.1495          |
| 1.1919        | 4.0   | 292152 | nan             |


### Framework versions

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