dyu-nllb-600M-fr2dyu
This model is a fine-tuned version of goaicorp/dyu-nllb-600M-fr2dyu on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.1010
- Bleu: 5.3196
- Gen Len: 67.0659
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: 32
- eval_batch_size: 32
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 700
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 71 | 5.5247 | 1.9734 | 69.7723 |
| 24.7282 | 2.0 | 142 | 4.3075 | 2.3248 | 65.3766 |
| 19.2418 | 3.0 | 213 | 3.8885 | 2.9509 | 13.261 |
| 19.2418 | 4.0 | 284 | 3.6824 | 3.6019 | 13.1027 |
| 17.0945 | 5.0 | 355 | 3.5412 | 4.2403 | 13.2957 |
| 15.9574 | 6.0 | 426 | 3.4223 | 4.5538 | 13.3249 |
| 15.9574 | 7.0 | 497 | 3.2880 | 5.068 | 67.5982 |
| 15.0356 | 8.0 | 568 | 3.2063 | 5.1631 | 68.4521 |
| 13.9984 | 9.0 | 639 | 3.1440 | 5.638 | 13.2277 |
| 13.1780 | 10.0 | 710 | 3.1010 | 5.3196 | 67.0659 |
Framework versions
- Transformers 5.5.0
- Pytorch 2.8.0+cu128
- Datasets 4.8.4
- Tokenizers 0.22.2
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