metadata
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: []
6431b2ccc01c99fe4ecf26fb75516f3e
This model is a fine-tuned version of 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