---
license: apache-2.0
base_model: google/long-t5-tglobal-base
tags:
- generated_from_trainer
metrics:
- rouge
- bleu
model-index:
- name: t5_long_tglobal_base_samsum
  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. -->

# t5_long_tglobal_base_samsum

This model is a fine-tuned version of [google/long-t5-tglobal-base](https://huggingface.co/google/long-t5-tglobal-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Rouge1: 22.7827
- Rouge2: 4.9292
- Rougel: 19.0267
- Rougelsum: 19.9561
- Bleu: 0.0
- Meteor: 0.1307
- Gen Len: 17.4725

## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2 | Rougel  | Rougelsum | Bleu | Meteor | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:----:|:------:|:-------:|
| 0.1925        | 0.9997 | 1841 | nan             | 22.7827 | 4.9292 | 19.0267 | 19.9561   | 0.0  | 0.1307 | 17.4725 |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1