---
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: 1.3947
- Rouge1: 45.5932
- Rouge2: 21.2389
- Rougel: 38.0289
- Rougelsum: 41.6019
- Bleu: 0.0
- Meteor: 0.3517
- Gen Len: 16.8303

## 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: 5

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum | Bleu | Meteor | Gen Len |
|:-------------:|:------:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:----:|:------:|:-------:|
| 1.8835        | 0.9997 | 1841 | 1.4599          | 43.5088 | 19.377  | 36.0811 | 39.65     | 0.0  | 0.3294 | 16.3346 |
| 1.7514        | 2.0    | 3683 | 1.4235          | 44.2039 | 20.1072 | 36.6115 | 40.352    | 0.0  | 0.3385 | 16.8217 |
| 1.6756        | 2.9997 | 5524 | 1.4020          | 44.824  | 20.5361 | 37.1858 | 40.7583   | 0.0  | 0.3431 | 16.6752 |
| 1.6694        | 4.0    | 7366 | 1.3984          | 45.2781 | 21.1846 | 37.7909 | 41.3745   | 0.0  | 0.3504 | 16.7741 |
| 1.6449        | 4.9986 | 9205 | 1.3947          | 45.5932 | 21.2389 | 38.0289 | 41.6019   | 0.0  | 0.3517 | 16.8303 |


### Framework versions

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