metadata
library_name: transformers
license: apache-2.0
base_model: google/umt5-xl
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: bb84e5956fa4843c4c1fa82337692137
results: []
bb84e5956fa4843c4c1fa82337692137
This model is a fine-tuned version of google/umt5-xl on the Helsinki-NLP/opus_books [fr-it] dataset. It achieves the following results on the evaluation set:
- Loss: 2.0099
- Data Size: 1.0
- Epoch Runtime: 205.5781
- Bleu: 8.8433
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 | 5.2927 | 0 | 13.5941 | 2.2924 |
| No log | 1 | 367 | 4.3096 | 0.0078 | 15.5771 | 5.5344 |
| No log | 2 | 734 | 3.5125 | 0.0156 | 23.7748 | 10.6850 |
| No log | 3 | 1101 | 2.9758 | 0.0312 | 31.8804 | 14.5616 |
| No log | 4 | 1468 | 2.6384 | 0.0625 | 40.5064 | 15.9381 |
| 0.1899 | 5 | 1835 | 2.3644 | 0.125 | 52.6170 | 6.5791 |
| 2.7147 | 6 | 2202 | 2.1766 | 0.25 | 75.6631 | 7.1049 |
| 2.4397 | 7 | 2569 | 2.0553 | 0.5 | 117.8008 | 7.3811 |
| 2.1857 | 8.0 | 2936 | 1.9766 | 1.0 | 206.8776 | 8.0779 |
| 1.9886 | 9.0 | 3303 | 1.9395 | 1.0 | 206.6883 | 8.4148 |
| 1.761 | 10.0 | 3670 | 1.9255 | 1.0 | 205.8516 | 8.6401 |
| 1.6096 | 11.0 | 4037 | 1.9284 | 1.0 | 203.4900 | 8.7878 |
| 1.5012 | 12.0 | 4404 | 1.9467 | 1.0 | 205.5317 | 8.7877 |
| 1.4092 | 13.0 | 4771 | 1.9821 | 1.0 | 205.3684 | 8.8410 |
| 1.2512 | 14.0 | 5138 | 2.0099 | 1.0 | 205.5781 | 8.8433 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1