---
library_name: transformers
license: apache-2.0
base_model: google/long-t5-tglobal-xl
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: 6431b2ccc01c99fe4ecf26fb75516f3e
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# 6431b2ccc01c99fe4ecf26fb75516f3e

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-it] dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4337
- Data Size: 1.0
- Epoch Runtime: 378.7898
- Bleu: 6.6781

## 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     | 3.4100          | 0         | 28.4126       | 0.2439 |
| No log        | 1     | 684   | 2.4432          | 0.0078    | 31.9325       | 1.5877 |
| No log        | 2     | 1368  | 2.3153          | 0.0156    | 37.8507       | 1.9091 |
| No log        | 3     | 2052  | 2.2078          | 0.0312    | 47.4179       | 3.6468 |
| No log        | 4     | 2736  | 2.0897          | 0.0625    | 59.4032       | 2.4129 |
| 2.4659        | 5     | 3420  | 1.9834          | 0.125     | 79.1582       | 2.4795 |
| 2.2792        | 6     | 4104  | 1.8620          | 0.25      | 120.1279      | 3.0764 |
| 2.0256        | 7     | 4788  | 1.7290          | 0.5       | 205.3425      | 3.7368 |
| 1.8058        | 8.0   | 5472  | 1.5855          | 1.0       | 376.6263      | 4.5428 |
| 1.6135        | 9.0   | 6156  | 1.4931          | 1.0       | 370.8074      | 5.1258 |
| 1.4937        | 10.0  | 6840  | 1.4448          | 1.0       | 371.5985      | 5.4812 |
| 1.3742        | 11.0  | 7524  | 1.4114          | 1.0       | 371.6593      | 5.7704 |
| 1.2846        | 12.0  | 8208  | 1.3902          | 1.0       | 370.8356      | 6.0013 |
| 1.1784        | 13.0  | 8892  | 1.3771          | 1.0       | 373.1421      | 6.2228 |
| 1.123         | 14.0  | 9576  | 1.3724          | 1.0       | 376.4735      | 6.3688 |
| 1.0134        | 15.0  | 10260 | 1.3827          | 1.0       | 377.0905      | 6.4729 |
| 0.9525        | 16.0  | 10944 | 1.3917          | 1.0       | 377.7570      | 6.6213 |
| 0.8781        | 17.0  | 11628 | 1.4171          | 1.0       | 379.7279      | 6.6494 |
| 0.8119        | 18.0  | 12312 | 1.4337          | 1.0       | 378.7898      | 6.6781 |


### Framework versions

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