---
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: 1.1390
- Rouge1: 51.5439
- Rouge2: 41.2421
- Rougel: 51.4764
- Rougelsum: 51.5006
- Gen Len: 6.3538

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.2197        | 1.0   | 6157  | 1.1987          | 51.2268 | 39.9596 | 51.1923 | 51.1914   | 6.7607  |
| 0.9954        | 2.0   | 12314 | 1.1706          | 50.8022 | 39.6403 | 50.7374 | 50.6872   | 6.3795  |
| 0.9489        | 3.0   | 18471 | 1.1442          | 52.3931 | 42.1802 | 52.3291 | 52.2775   | 6.3484  |
| 0.8887        | 4.0   | 24628 | 1.1390          | 51.5439 | 41.2421 | 51.4764 | 51.5006   | 6.3538  |
| 0.8414        | 5.0   | 30785 | 1.1799          | 51.9563 | 41.1814 | 51.8804 | 51.8698   | 6.7852  |
| 0.753         | 6.0   | 36942 | 1.1829          | 52.4688 | 41.3965 | 52.3511 | 52.3868   | 6.6134  |
| 0.7471        | 7.0   | 43099 | 1.1995          | 51.3549 | 40.6927 | 51.2323 | 51.2653   | 6.6271  |
| 0.7327        | 8.0   | 49256 | 1.2001          | 51.5724 | 40.8948 | 51.4687 | 51.4899   | 6.6366  |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2