---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: email_extractor_model_t5_small
  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. -->

# email_extractor_model_t5_small

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4229
- Rouge1: 0.5575
- Rouge2: 0.5065
- Rougel: 0.5473
- Rougelsum: 0.5532
- Gen Len: 18.9697

## 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: 10
- eval_batch_size: 10
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| No log        | 1.0   | 13   | 0.5638          | 0.3419 | 0.2711 | 0.3208 | 0.3224    | 19.0    |
| No log        | 2.0   | 26   | 0.4783          | 0.4679 | 0.4041 | 0.4451 | 0.446     | 18.9697 |
| No log        | 3.0   | 39   | 0.4356          | 0.5394 | 0.4872 | 0.5262 | 0.529     | 18.9697 |
| No log        | 4.0   | 52   | 0.4229          | 0.5575 | 0.5065 | 0.5473 | 0.5532    | 18.9697 |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1