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

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: 1.1739
- Rouge1: 49.6859
- Rouge2: 37.2276
- Rougel: 49.5085
- Rougelsum: 49.5531
- Gen Len: 6.5138

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1796        | 1.0   | 6223  | 1.1739          | 49.6859 | 37.2276 | 49.5085 | 49.5531   | 6.5138  |
| 1.0232        | 2.0   | 12446 | 1.1820          | 49.7748 | 37.0118 | 49.5941 | 49.6469   | 6.8708  |
| 0.9315        | 3.0   | 18669 | 1.2301          | 48.0881 | 35.58   | 48.0004 | 48.0227   | 6.6295  |
| 0.8268        | 4.0   | 24892 | 1.2825          | 44.9333 | 32.8997 | 44.8001 | 44.8274   | 6.3620  |
| 0.8217        | 5.0   | 31115 | 1.3131          | 45.5074 | 32.864  | 45.3445 | 45.3414   | 6.3456  |
| 0.7738        | 6.0   | 37338 | 1.3544          | 44.6476 | 32.7547 | 44.4945 | 44.5461   | 6.5479  |
| 0.7336        | 7.0   | 43561 | 1.3442          | 45.3053 | 33.1408 | 45.155  | 45.1848   | 6.5295  |
| 0.7086        | 8.0   | 49784 | 1.3590          | 45.3277 | 33.0743 | 45.2083 | 45.2695   | 6.5869  |


### Framework versions

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