---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-p7-3epochs
  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-base-finetuned-p7-3epochs

This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6636
- Rouge1: 59.5686
- Rouge2: 50.9766
- Rougel: 58.2321
- Rougelsum: 58.6381
- Gen Len: 17.5426

## 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: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 0.2896        | 1.0   | 1131 | 0.6461          | 58.2714 | 49.703  | 56.8138 | 57.2542   | 17.7819 |
| 0.2325        | 2.0   | 2262 | 0.6584          | 60.2913 | 51.6179 | 59.04   | 59.499    | 17.6383 |
| 0.2526        | 3.0   | 3393 | 0.6636          | 59.5686 | 50.9766 | 58.2321 | 58.6381   | 17.5426 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3