---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- clinc_oos
model-index:
- name: distilbert-base-uncased-finetuned-clinc
  results: []
---

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# distilbert-base-uncased-finetuned-clinc

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [clinc_oos](https://huggingface.co/datasets/clinc_oos) dataset.

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

The training and evaluation data come straight from the `train` and `validation` splits in the clinc_oos dataset, respectively; and tokenized using the distilbert-base-uncased tokenization.

## Training procedure

Please see page 224 in Chapter 8: Making Transformers Efficient in Production, Natural Language Processing with Transformers, May 2022.

### Training hyperparameters

The following hyperparameters were used during training:
- alpha: 1.0
- temperature: 2.0
- learning_rate: 2e-05
- train_batch_size: 48
- eval_batch_size: 48
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Framework versions

- Transformers 4.16.2
- Pytorch 2.1.2+cu121
- Datasets 1.16.1
- Tokenizers 0.15.1