---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-large-extraction-cnndm_2000-summary
  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. -->

# flan-t5-large-extraction-cnndm_2000-summary

This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7295
- Rouge1: 27.984
- Rouge2: 11.9662
- Rougel: 25.9999
- Rougelsum: 26.0222
- Gen Len: 18.962

## 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: 24
- seed: 1799
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
| 2.1425        | 0.8   | 200  | 1.7841          | 27.3288 | 11.2913 | 25.3127 | 25.3298   | 18.958  |
| 1.8911        | 1.6   | 400  | 1.7508          | 28.4085 | 12.3877 | 26.3391 | 26.374    | 18.98   |
| 1.7625        | 2.4   | 600  | 1.7295          | 27.984  | 11.9662 | 25.9999 | 26.0222   | 18.962  |
| 1.7011        | 3.2   | 800  | 1.7338          | 28.5793 | 12.578  | 26.6817 | 26.7064   | 18.974  |
| 1.6198        | 4.0   | 1000 | 1.7298          | 28.7805 | 12.8467 | 26.6043 | 26.6578   | 18.992  |
| 1.5813        | 4.8   | 1200 | 1.7331          | 28.305  | 12.1954 | 26.1588 | 26.1865   | 18.984  |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.5.1
- Tokenizers 0.12.1