transformers tensorboard safetensors t5 text2text-generation generated_from_trainer dataset:arxiv-summarization base_model:google/flan-t5-base base_model:finetune:google/flan-t5-base license:apache-2.0 model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
base_model: google/flan-t5-base
datasets:
- arxiv-summarization
license: apache-2.0
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: flan-t5-base-arxiv-summarization
  results:
  - task:
      type: text2text-generation
      name: Sequence-to-sequence Language Modeling
    dataset:
      name: arxiv-summarization
      type: arxiv-summarization
      config: section
      split: validation
      args: section
    metrics:
    - type: rouge
      value: 16.9723
      name: Rouge1
---

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# flan-t5-base-arxiv-summarization

This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the arxiv-summarization dataset.
It achieves the following results on the evaluation set:
- Loss: 2.4224
- Rouge1: 16.9723
- Rouge2: 5.5397
- Rougel: 13.3456
- Rougelsum: 15.3761
- Gen Len: 19.0

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: tpu
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Gen Len |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:|
| 2.5142        | 1.0   | 6250 | 2.4224          | 16.9723 | 5.5397 | 13.3456 | 15.3761   | 19.0    |


### Framework versions

- Transformers 4.36.0
- Pytorch 2.0.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
