transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us
---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: my_article_model
  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. -->

# my_article_model

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: 3.3044
- Rouge1: 0.2787
- Rouge2: 0.0963
- Rougel: 0.2397
- Rougelsum: 0.2389
- Gen Len: 18.625

## 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: 16
- eval_batch_size: 16
- 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   | 50   | 3.6835          | 0.2565 | 0.0945 | 0.2292 | 0.228     | 19.0    |
| No log        | 2.0   | 100  | 3.4297          | 0.2802 | 0.1022 | 0.2454 | 0.2447    | 18.895  |
| No log        | 3.0   | 150  | 3.3322          | 0.2787 | 0.0966 | 0.2412 | 0.2409    | 18.755  |
| No log        | 4.0   | 200  | 3.3044          | 0.2787 | 0.0963 | 0.2397 | 0.2389    | 18.625  |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
