transformers pytorch t5 text2text-generation generated_from_trainer dataset:cnn_dailymail model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- cnn_dailymail
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: large-2-2
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: cnn_dailymail 3.0.0
      type: cnn_dailymail
      config: 3.0.0
      split: validation
      args: 3.0.0
    metrics:
    - type: rouge
      value: 40.5675
      name: Rouge1
---

<!-- 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. -->

# large-2-2

This model is a fine-tuned version of [cnn/large-2-2/](https://huggingface.co/cnn/large-2-2/) on the cnn_dailymail 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5987
- Rouge1: 40.5675
- Rouge2: 18.4665
- Rougel: 28.9621
- Rougelsum: 37.8187
- Gen Len: 73.3882

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.27.0.dev0
- Pytorch 1.13.0+cu117
- Datasets 2.7.1
- Tokenizers 0.13.2
