---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- pn_summary
metrics:
- rouge
model-index:
- name: my_awesome_pn_summary_model
  results:
  - task:
      name: Sequence-to-sequence Language Modeling
      type: text2text-generation
    dataset:
      name: pn_summary
      type: pn_summary
      config: 1.0.0
      split: train
      args: 1.0.0
    metrics:
    - name: Rouge1
      type: rouge
      value: 0.0
---

<!-- 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_awesome_pn_summary_model

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the pn_summary dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1125
- Rouge1: 0.0
- Rouge2: 0.0
- Rougel: 0.0
- Rougelsum: 0.0
- 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: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.1169        | 1.0   | 5127  | 0.1130          | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |
| 0.115         | 2.0   | 10254 | 0.1125          | 0.0    | 0.0    | 0.0    | 0.0       | 19.0    |


### Framework versions

- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2