transformers pytorch t5 text2text-generation generated_from_trainer dataset:xsum model-index autotrain_compatible text-generation-inference endpoints_compatible region:us
---
datasets:
- xsum
metrics:
- rouge
tags:
- generated_from_trainer
model-index:
- name: large-6-5
  results:
  - task:
      type: summarization
      name: Summarization
    dataset:
      name: xsum
      type: xsum
      config: default
      split: validation
      args: default
    metrics:
    - type: rouge
      value: 43.1814
      name: Rouge1
---

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# large-6-5

This model is a fine-tuned version of [x/large-6-5/](https://huggingface.co/x/large-6-5/) on the xsum dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4898
- Rouge1: 43.1814
- Rouge2: 19.7991
- Rougel: 35.2222
- Rougelsum: 35.2129
- Gen Len: 25.9121

## 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: 8
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 8
- 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 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.13.2
