---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
model-index:
- name: purpose_extractor
  results: []
---
This model extracts purpose from intent.

# purpose_extractor

This model is a fine-tuned version of [t5-large](https://huggingface.co/t5-large) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0203

## 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: 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1179        | 1.0   | 109  | 0.6176          |
| 0.09          | 2.0   | 218  | 0.1340          |
| 0.0982        | 3.0   | 327  | 0.0781          |
| 0.0015        | 4.0   | 436  | 0.0522          |
| 0.3695        | 5.0   | 545  | 0.0406          |
| 0.0051        | 6.0   | 654  | 0.0310          |
| 0.0294        | 7.0   | 763  | 0.0251          |
| 0.0027        | 8.0   | 872  | 0.0228          |
| 0.015         | 9.0   | 981  | 0.0209          |
| 0.0303        | 10.0  | 1090 | 0.0203          |


### Framework versions

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