---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: recipe-distilbert-i
  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. -->

# recipe-distilbert-i

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: 1.0288

## 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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.3931        | 1.0   | 152  | 1.7738          |
| 1.7533        | 2.0   | 304  | 1.5109          |
| 1.5584        | 3.0   | 456  | 1.4003          |
| 1.443         | 4.0   | 608  | 1.3296          |
| 1.3551        | 5.0   | 760  | 1.2270          |
| 1.2981        | 6.0   | 912  | 1.1870          |
| 1.2577        | 7.0   | 1064 | 1.1511          |
| 1.2216        | 8.0   | 1216 | 1.1298          |
| 1.1958        | 9.0   | 1368 | 1.1087          |
| 1.1685        | 10.0  | 1520 | 1.0858          |
| 1.1533        | 11.0  | 1672 | 1.0820          |
| 1.1358        | 12.0  | 1824 | 1.0659          |
| 1.1286        | 13.0  | 1976 | 1.0382          |
| 1.1128        | 14.0  | 2128 | 1.0468          |
| 1.11          | 15.0  | 2280 | 1.0399          |
| 1.094         | 16.0  | 2432 | 1.0382          |
| 1.0969        | 17.0  | 2584 | 1.0096          |
| 1.0868        | 18.0  | 2736 | 1.0235          |
| 1.0845        | 19.0  | 2888 | 1.0227          |
| 1.0855        | 20.0  | 3040 | 1.0288          |


### Framework versions

- Transformers 4.19.0.dev0
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1