---
library_name: transformers
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: a50e0479df31a6b42995051c03abb9ef
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# a50e0479df31a6b42995051c03abb9ef

This model is a fine-tuned version of [google/long-t5-tglobal-xl](https://huggingface.co/google/long-t5-tglobal-xl) on the Helsinki-NLP/opus_books [de-pt] dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6243
- Data Size: 1.0
- Epoch Runtime: 26.5925
- Bleu: 5.2474

## 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: multi-GPU
- num_devices: 4
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: constant
- num_epochs: 50

### Training results

| Training Loss | Epoch | Step | Validation Loss | Data Size | Epoch Runtime | Bleu   |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:-------------:|:------:|
| No log        | 0     | 0    | 3.1227          | 0         | 1.8720        | 0.3497 |
| No log        | 1     | 27   | 2.8097          | 0.0078    | 2.7344        | 0.4528 |
| No log        | 2     | 54   | 2.5536          | 0.0156    | 8.0554        | 0.6786 |
| No log        | 3     | 81   | 2.3421          | 0.0312    | 11.1991       | 1.2236 |
| No log        | 4     | 108  | 2.1753          | 0.0625    | 15.5740       | 2.1698 |
| No log        | 5     | 135  | 2.0890          | 0.125     | 20.8313       | 2.1033 |
| No log        | 6     | 162  | 2.0273          | 0.25      | 27.9351       | 1.9696 |
| No log        | 7     | 189  | 1.9091          | 0.5       | 27.0546       | 2.1619 |
| 0.5362        | 8.0   | 216  | 1.7893          | 1.0       | 31.7981       | 2.8972 |
| 0.5362        | 9.0   | 243  | 1.7106          | 1.0       | 31.8682       | 3.5717 |
| 2.0484        | 10.0  | 270  | 1.6700          | 1.0       | 34.2794       | 4.1177 |
| 2.0484        | 11.0  | 297  | 1.6465          | 1.0       | 28.6308       | 4.3165 |
| 1.7421        | 12.0  | 324  | 1.6207          | 1.0       | 28.6074       | 4.4859 |
| 1.5418        | 13.0  | 351  | 1.6082          | 1.0       | 31.8599       | 4.6081 |
| 1.5418        | 14.0  | 378  | 1.5989          | 1.0       | 27.9289       | 4.7485 |
| 1.3658        | 15.0  | 405  | 1.6066          | 1.0       | 28.3605       | 5.0321 |
| 1.3658        | 16.0  | 432  | 1.6011          | 1.0       | 31.4451       | 5.1330 |
| 1.2282        | 17.0  | 459  | 1.6088          | 1.0       | 33.0436       | 5.1568 |
| 1.2282        | 18.0  | 486  | 1.6243          | 1.0       | 26.5925       | 5.2474 |


### Framework versions

- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1