---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: task_extractor
  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. -->

# task_extractor

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0352

## 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: 5e-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
- training_steps: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0818        | 0.01  | 1    | 0.0594          |
| 0.0621        | 0.01  | 2    | 0.0537          |
| 0.0616        | 0.02  | 3    | 0.0490          |
| 0.0639        | 0.02  | 4    | 0.0451          |
| 0.0571        | 0.03  | 5    | 0.0419          |
| 0.0617        | 0.04  | 6    | 0.0395          |
| 0.06          | 0.04  | 7    | 0.0377          |
| 0.0523        | 0.05  | 8    | 0.0364          |
| 0.0486        | 0.05  | 9    | 0.0356          |
| 0.0534        | 0.06  | 10   | 0.0352          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1
- Datasets 2.15.0
- Tokenizers 0.15.0