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

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# roberta-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: 1.2586

## 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: 10

### Training results

| Training Loss | Epoch | Step   | Validation Loss |
|:-------------:|:-----:|:------:|:---------------:|
| 1.7143        | 1.0   | 22655  | 1.5815          |
| 1.5183        | 2.0   | 45310  | 1.5212          |
| 1.4607        | 3.0   | 67965  | 1.4339          |
| 1.397         | 4.0   | 90620  | 1.3838          |
| 1.4282        | 5.0   | 113275 | 1.3366          |
| 1.2718        | 6.0   | 135930 | 1.3315          |
| 1.2505        | 7.0   | 158585 | 1.2756          |
| 1.2611        | 8.0   | 181240 | 1.2684          |
| 1.1754        | 9.0   | 203895 | 1.2461          |
| 1.1871        | 10.0  | 226550 | 1.2586          |


### Framework versions

- Transformers 4.22.0
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1