---
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-shShootingKP
  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-shShootingKP

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: 1.6665
- Rouge1: 34.5267
- Rouge2: 28.0947
- Rougel: 34.5277
- Rougelsum: 34.5954
- Gen Len: 6.4385

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1889        | 1.0   | 6056  | 1.7462          | 34.927  | 28.162  | 34.9525 | 35.0176   | 7.2062  |
| 1.0076        | 2.0   | 12112 | 1.7262          | 34.3953 | 27.6704 | 34.393  | 34.4491   | 6.8452  |
| 0.9798        | 3.0   | 18168 | 1.6861          | 34.5625 | 28.0528 | 34.5541 | 34.6322   | 6.6332  |
| 0.9324        | 4.0   | 24224 | 1.7051          | 34.2389 | 27.9601 | 34.2154 | 34.3167   | 6.8740  |
| 0.8892        | 5.0   | 30280 | 1.6665          | 34.5267 | 28.0947 | 34.5277 | 34.5954   | 6.4385  |
| 0.809         | 6.0   | 36336 | 1.7787          | 34.0937 | 27.661  | 34.0887 | 34.1515   | 6.6721  |
| 0.7897        | 7.0   | 42392 | 1.7404          | 33.9073 | 27.6347 | 33.9084 | 33.9455   | 6.5274  |
| 0.7302        | 8.0   | 48448 | 1.7334          | 33.8327 | 27.5953 | 33.836  | 33.8535   | 6.4447  |


### Framework versions

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