---
base_model: mrm8488/t5-base-finetuned-summarize-news
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-base-finetuned-summarize-news-finetuned-xsum
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# t5-base-finetuned-summarize-news-finetuned-xsum

This model is a fine-tuned version of [mrm8488/t5-base-finetuned-summarize-news](https://huggingface.co/mrm8488/t5-base-finetuned-summarize-news) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.8286
- Rouge1: 36.1835
- Rouge2: 19.3429
- Rougel: 35.3053
- Rougelsum: 35.4019
- Gen Len: 18.9615

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| No log        | 1.0   | 26   | 3.0615          | 19.3248 | 6.3763  | 17.2502 | 17.2526   | 19.0    |
| No log        | 2.0   | 52   | 2.5465          | 34.32   | 18.9536 | 32.8364 | 33.0664   | 19.0    |
| No log        | 3.0   | 78   | 2.2511          | 34.606  | 18.9098 | 33.9115 | 33.9428   | 19.0    |
| No log        | 4.0   | 104  | 2.0548          | 36.568  | 20.0592 | 35.5504 | 35.5845   | 18.9615 |
| No log        | 5.0   | 130  | 1.9450          | 36.6344 | 19.5431 | 35.6034 | 35.6426   | 18.9615 |
| No log        | 6.0   | 156  | 1.8820          | 36.1835 | 19.3429 | 35.3053 | 35.4019   | 18.9615 |
| No log        | 7.0   | 182  | 1.8411          | 36.1835 | 19.3429 | 35.3053 | 35.4019   | 18.9615 |
| No log        | 8.0   | 208  | 1.8286          | 36.1835 | 19.3429 | 35.3053 | 35.4019   | 18.9615 |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.15.0