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

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: 1.4801
- Rouge1: 43.5664
- Rouge2: 29.643
- Rougel: 43.4587
- Rougelsum: 43.393
- Gen Len: 6.0567

## 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 |
|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 1.1732        | 1.0   | 6086  | 1.4855          | 44.3428 | 30.4888 | 44.2809 | 44.238    | 6.4530  |
| 1.0189        | 2.0   | 12172 | 1.4801          | 43.5664 | 29.643  | 43.4587 | 43.393    | 6.0567  |
| 0.9379        | 3.0   | 18258 | 1.5378          | 43.8433 | 30.4692 | 43.6996 | 43.6864   | 6.9653  |
| 0.8248        | 4.0   | 24344 | 1.5389          | 43.8048 | 29.4327 | 43.7467 | 43.6956   | 6.5986  |
| 0.832         | 5.0   | 30430 | 1.5519          | 44.9305 | 30.0435 | 44.8287 | 44.7814   | 6.5894  |
| 0.732         | 6.0   | 36516 | 1.5944          | 42.8063 | 28.8826 | 42.7294 | 42.6553   | 6.4045  |
| 0.778         | 7.0   | 42602 | 1.5845          | 44.1877 | 29.1966 | 44.0738 | 44.0379   | 6.4285  |
| 0.702         | 8.0   | 48688 | 1.6057          | 44.2274 | 29.3567 | 44.1037 | 44.0794   | 6.6088  |


### Framework versions

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