---
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small_finetuned2
  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_finetuned2

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2643
- Rouge1: 0.0724
- Rouge2: 0.0643
- Rougel: 0.0724
- Rougelsum: 0.0724
- 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
- distributed_type: multi-GPU
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
| 0.304         | 1.0   | 18565 | 0.2865          | 0.0706 | 0.062  | 0.0706 | 0.0706    | 19.0    |
| 0.291         | 2.0   | 37130 | 0.2726          | 0.0719 | 0.0636 | 0.0719 | 0.0719    | 19.0    |
| 0.2827        | 3.0   | 55695 | 0.2662          | 0.0723 | 0.0641 | 0.0722 | 0.0722    | 19.0    |
| 0.2796        | 4.0   | 74260 | 0.2643          | 0.0724 | 0.0643 | 0.0724 | 0.0724    | 19.0    |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0