---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: slurp-intent_baseline-distilbert-base-uncased
  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. -->

# slurp-intent_baseline-distilbert-base-uncased

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: 0.6705
- Accuracy: 0.8701

## 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: 16
- eval_batch_size: 16
- 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.7487        | 1.0   | 720  | 1.0701          | 0.7811   |
| 1.1513        | 2.0   | 1440 | 0.6923          | 0.8367   |
| 0.4843        | 3.0   | 2160 | 0.6241          | 0.8569   |
| 0.3823        | 4.0   | 2880 | 0.6058          | 0.8637   |
| 0.2328        | 5.0   | 3600 | 0.6172          | 0.8701   |
| 0.2081        | 6.0   | 4320 | 0.6486          | 0.8667   |
| 0.1472        | 7.0   | 5040 | 0.6541          | 0.8682   |
| 0.1345        | 8.0   | 5760 | 0.6552          | 0.8716   |
| 0.1215        | 9.0   | 6480 | 0.6695          | 0.8701   |
| 0.0999        | 10.0  | 7200 | 0.6705          | 0.8701   |


### Framework versions

- Transformers 4.29.2
- Pytorch 1.13.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3