25c538fe026155262f55dc59b28f7026
This model is a fine-tuned version of google-t5/t5-large on the Helsinki-NLP/opus_books [fr-it] dataset. It achieves the following results on the evaluation set:
- Loss: 1.6511
- Data Size: 1.0
- Epoch Runtime: 166.5946
- Bleu: 8.6492
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 | 3.8446 | 0 | 12.2101 | 0.9155 |
| No log | 1 | 367 | 3.1691 | 0.0078 | 12.5952 | 1.5673 |
| No log | 2 | 734 | 2.7153 | 0.0156 | 15.0712 | 2.3566 |
| No log | 3 | 1101 | 2.5800 | 0.0312 | 18.8708 | 3.1036 |
| No log | 4 | 1468 | 2.4667 | 0.0625 | 23.7216 | 3.9287 |
| 0.1447 | 5 | 1835 | 2.3576 | 0.125 | 32.3061 | 5.2866 |
| 2.5302 | 6 | 2202 | 2.2269 | 0.25 | 51.9858 | 5.8870 |
| 2.3476 | 7 | 2569 | 2.0839 | 0.5 | 92.2038 | 6.4442 |
| 2.1358 | 8.0 | 2936 | 1.9428 | 1.0 | 164.3113 | 7.4477 |
| 1.9714 | 9.0 | 3303 | 1.8450 | 1.0 | 163.7945 | 7.6499 |
| 1.8504 | 10.0 | 3670 | 1.7911 | 1.0 | 163.1514 | 8.1984 |
| 1.7587 | 11.0 | 4037 | 1.7502 | 1.0 | 161.9175 | 8.3156 |
| 1.7041 | 12.0 | 4404 | 1.7103 | 1.0 | 167.2038 | 8.7358 |
| 1.6508 | 13.0 | 4771 | 1.6904 | 1.0 | 165.9298 | 8.7357 |
| 1.5491 | 14.0 | 5138 | 1.6669 | 1.0 | 159.8515 | 8.9149 |
| 1.5103 | 15.0 | 5505 | 1.6520 | 1.0 | 168.0792 | 8.7544 |
| 1.4479 | 16.0 | 5872 | 1.6488 | 1.0 | 164.1649 | 8.7317 |
| 1.4087 | 17.0 | 6239 | 1.6473 | 1.0 | 162.4921 | 8.7791 |
| 1.3597 | 18.0 | 6606 | 1.6356 | 1.0 | 166.7319 | 8.8385 |
| 1.3318 | 19.0 | 6973 | 1.6356 | 1.0 | 165.1773 | 8.7970 |
| 1.2954 | 20.0 | 7340 | 1.6262 | 1.0 | 164.0803 | 8.8980 |
| 1.2271 | 21.0 | 7707 | 1.6307 | 1.0 | 163.6734 | 8.8361 |
| 1.2054 | 22.0 | 8074 | 1.6341 | 1.0 | 165.0612 | 8.7217 |
| 1.1556 | 23.0 | 8441 | 1.6348 | 1.0 | 170.7119 | 8.6424 |
| 1.1252 | 24.0 | 8808 | 1.6511 | 1.0 | 166.5946 | 8.6492 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu128
- Datasets 4.2.0
- Tokenizers 0.22.1
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Base model
google-t5/t5-large