---
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 [bert-base-uncased](https://huggingface.co./bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0654

## 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: 8

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.4348        | 1.0   | 29539  | 1.3527          |
| 1.2839        | 2.0   | 59078  | 1.2602          |
| 1.2093        | 3.0   | 88617  | 1.1843          |
| 1.1824        | 4.0   | 118156 | 1.1563          |
| 1.1019        | 5.0   | 147695 | 1.1089          |
| 1.1           | 6.0   | 177234 | 1.0874          |
| 1.0624        | 7.0   | 206773 | 1.0701          |
| 1.0421        | 8.0   | 236312 | 1.0654          |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1