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

# t5-small-hardaDerailKP

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: 1.1782
- Rouge1: 51.8379
- Rouge2: 41.3714
- Rougel: 51.9665
- Rougelsum: 51.9518
- Gen Len: 6.8067

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2491        | 1.0   | 3079  | 1.2203          | 51.123  | 40.4019 | 51.1098 | 51.1009   | 6.8389  |
| 1.0688        | 2.0   | 6158  | 1.1890          | 50.7818 | 40.0174 | 50.827  | 50.8336   | 6.7285  |
| 1.0126        | 3.0   | 9237  | 1.1782          | 51.8379 | 41.3714 | 51.9665 | 51.9518   | 6.8067  |
| 0.9778        | 4.0   | 12316 | 1.1825          | 51.1751 | 40.5841 | 51.231  | 51.254    | 6.8103  |
| 0.9071        | 5.0   | 15395 | 1.1858          | 51.0503 | 40.212  | 51.1279 | 51.1203   | 6.7655  |


### Framework versions

- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2