test_llm_nllb_100_e_12_lr3e5_ada
This model is a fine-tuned version of facebook/nllb-200-distilled-600M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5388
- Rouge1: 0.6155
- Rouge2: 0.3817
- Rougel: 0.57
- Sacrebleu: 23.323
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: 3e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 237
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 12
- mixed_precision_training: Native AMP
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu |
---|---|---|---|---|---|---|---|
0.5121 | 1.0 | 2040 | 0.5072 | 0.5877 | 0.3511 | 0.5432 | 20.8262 |
0.4381 | 2.0 | 4080 | 0.4802 | 0.6022 | 0.3684 | 0.5572 | 21.9614 |
0.3465 | 3.0 | 6120 | 0.4816 | 0.6143 | 0.3806 | 0.569 | 23.0564 |
0.3084 | 4.0 | 8160 | 0.4832 | 0.6172 | 0.3872 | 0.5726 | 23.4185 |
0.2836 | 5.0 | 10200 | 0.4902 | 0.6196 | 0.3883 | 0.5751 | 23.7412 |
0.2479 | 6.0 | 12240 | 0.5001 | 0.6182 | 0.3832 | 0.5719 | 23.1833 |
0.2036 | 7.0 | 14280 | 0.5112 | 0.6191 | 0.3865 | 0.5746 | 23.1771 |
0.1973 | 8.0 | 16320 | 0.5190 | 0.6207 | 0.3865 | 0.5735 | 23.2226 |
0.1615 | 9.0 | 18360 | 0.5258 | 0.619 | 0.3877 | 0.5733 | 23.7005 |
0.1546 | 10.0 | 20400 | 0.5335 | 0.6172 | 0.3835 | 0.5708 | 23.458 |
0.1345 | 11.0 | 22440 | 0.5336 | 0.6125 | 0.3786 | 0.5665 | 23.1359 |
0.1294 | 12.0 | 24480 | 0.5388 | 0.6155 | 0.3817 | 0.57 | 23.323 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for uriel/test_llm_nllb_100_e_12_lr3e5_ada
Base model
facebook/nllb-200-distilled-600M