---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: todos_task_model
  results: []
datasets:
- vagrawal787/todo_task_list_types
metrics:
- accuracy
pipeline_tag: text-classification
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# todos_task_model

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the vagrawal787/todo_task_list_types dataset.
It achieves the following results on the evaluation set:
- eval_loss: 0.2696
- eval_accuracy: 0.95
- eval_runtime: 0.2417
- eval_samples_per_second: 248.265
- eval_steps_per_second: 62.066
- step: 0

## Model description

Input: Text string of a todo-like task such as "get groceries"
Output: A type label for what type of task it is (home, personal, work, emergency, etc.)

## Intended uses & limitations

More information needed

## Training and evaluation data

The dataset used is provided in the card.

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3