---
license: apache-2.0
base_model: t5-large
tags:
- generated_from_trainer
model-index:
- name: message_extraction
  results: []
---
This model extracts the message from the text
# message_extraction

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: 0.0185

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3131        | 1.0   | 191  | 0.3448          |
| 0.2332        | 2.0   | 382  | 0.1029          |
| 0.127         | 3.0   | 573  | 0.0606          |
| 0.0685        | 4.0   | 764  | 0.0423          |
| 0.052         | 5.0   | 955  | 0.0338          |
| 0.0002        | 6.0   | 1146 | 0.0275          |
| 0.0468        | 7.0   | 1337 | 0.0238          |
| 0.02          | 8.0   | 1528 | 0.0207          |
| 0.0567        | 9.0   | 1719 | 0.0189          |
| 0.0044        | 10.0  | 1910 | 0.0185          |


### Framework versions

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