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---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-3b
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: e4cb84029119bc7f0a41ab739916352d
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. -->
# e4cb84029119bc7f0a41ab739916352d
This model is a fine-tuned version of [google-t5/t5-3b](https://huggingface.co/google-t5/t5-3b) on the Helsinki-NLP/opus_books [de-en] dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6326
- Data Size: 1.0
- Epoch Runtime: 593.0467
- Bleu: 12.0167
## 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 | 2.5439 | 0 | 38.2277 | 6.0746 |
| No log | 1 | 1286 | 1.9440 | 0.0078 | 44.1900 | 8.8838 |
| 0.0415 | 2 | 2572 | 1.8445 | 0.0156 | 52.4201 | 9.8276 |
| 0.0537 | 3 | 3858 | 1.7678 | 0.0312 | 65.9054 | 9.4914 |
| 0.079 | 4 | 5144 | 1.7053 | 0.0625 | 84.4355 | 10.0735 |
| 1.7414 | 5 | 6430 | 1.6472 | 0.125 | 123.3373 | 10.8341 |
| 1.672 | 6 | 7716 | 1.5838 | 0.25 | 182.3106 | 10.8763 |
| 1.5756 | 7 | 9002 | 1.5212 | 0.5 | 326.3003 | 11.2567 |
| 1.4593 | 8.0 | 10288 | 1.4629 | 1.0 | 585.0266 | 11.9885 |
| 1.284 | 9.0 | 11574 | 1.4518 | 1.0 | 585.1319 | 12.3096 |
| 1.1162 | 10.0 | 12860 | 1.4714 | 1.0 | 594.7481 | 12.2024 |
| 0.9664 | 11.0 | 14146 | 1.5170 | 1.0 | 605.3794 | 12.2927 |
| 0.9025 | 12.0 | 15432 | 1.5649 | 1.0 | 599.8586 | 12.1782 |
| 0.7602 | 13.0 | 16718 | 1.6326 | 1.0 | 593.0467 | 12.0167 |
### Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
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