transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:cnn_dailymail base_model:google-t5/t5-small base_model:finetune:google-t5/t5-small license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: google-t5/t5-small
datasets:
- cnn_dailymail
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: finetuned-t5-cnn_dailymail
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: cnn_dailymail 3.0.0
      type: cnn_dailymail
      args: 3.0.0
    metrics:
    - type: rouge
      value: 33.5809
      name: Rouge1
---

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# finetuned-t5-cnn_dailymail

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the cnn_dailymail 3.0.0 dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0404
- Rouge1: 33.5809
- Rouge2: 16.338
- Rougel: 27.0894
- Rougelsum: 31.8225
- Gen Len: 57.48

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results



### Framework versions

- Transformers 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
