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

This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1478
- Rouge1: 21.6168
- Rouge2: 19.898
- Rougel: 21.5524
- Rougelsum: 21.5762
- Gen Len: 19.0

## 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: 2e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 24   | 0.9771          | 22.1616 | 19.8054 | 20.8289 | 21.8465   | 19.0    |
| No log        | 2.0   | 48   | 0.5761          | 21.3116 | 18.9119 | 19.847  | 20.8814   | 19.0    |
| No log        | 3.0   | 72   | 0.4177          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 4.0   | 96   | 0.3053          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 5.0   | 120  | 0.2355          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 6.0   | 144  | 0.1961          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 7.0   | 168  | 0.1718          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 8.0   | 192  | 0.1577          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 9.0   | 216  | 0.1497          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |
| No log        | 10.0  | 240  | 0.1478          | 21.6168 | 19.898  | 21.5524 | 21.5762   | 19.0    |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.2.0+cpu
- Datasets 2.17.0
- Tokenizers 0.15.2