---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: mymodel-generation
  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. -->

# mymodel-generation

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4959
- Rouge1: 15.814
- Rouge2: 6.0889
- Rougel: 13.524
- Rougelsum: 13.6797
- Gen Len: 19.0

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 100  | 0.6815          | 14.8968 | 4.9117 | 12.5655 | 12.7826   | 19.0    |
| No log        | 2.0   | 200  | 0.6100          | 14.9404 | 4.9974 | 12.8103 | 13.0953   | 19.0    |
| No log        | 3.0   | 300  | 0.5827          | 14.991  | 5.2082 | 12.9564 | 13.1979   | 19.0    |
| No log        | 4.0   | 400  | 0.5568          | 14.9205 | 5.1634 | 12.6664 | 12.8388   | 19.0    |
| 0.8938        | 5.0   | 500  | 0.5352          | 15.2597 | 5.6541 | 13.0388 | 13.1956   | 19.0    |
| 0.8938        | 6.0   | 600  | 0.5212          | 15.4645 | 5.7723 | 13.2198 | 13.3698   | 19.0    |
| 0.8938        | 7.0   | 700  | 0.5098          | 15.4663 | 5.8769 | 13.2799 | 13.403    | 19.0    |
| 0.8938        | 8.0   | 800  | 0.5015          | 16.0013 | 6.2874 | 13.7037 | 13.8538   | 19.0    |
| 0.8938        | 9.0   | 900  | 0.4957          | 15.8722 | 6.1918 | 13.6299 | 13.7783   | 19.0    |
| 0.6764        | 10.0  | 1000 | 0.4959          | 15.814  | 6.0889 | 13.524  | 13.6797   | 19.0    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3