opus-mt-lg-en-finetuned-lm-to-en
This model is a fine-tuned version of Helsinki-NLP/opus-mt-lg-en on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3798
- Bleu: 91.6784
- Gen Len: 10.7258
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 143 | 2.9523 | 6.6676 | 10.7022 |
| No log | 2.0 | 286 | 2.2556 | 13.1367 | 11.2939 |
| No log | 3.0 | 429 | 1.7848 | 22.8311 | 10.5799 |
| 2.933 | 4.0 | 572 | 1.4150 | 32.5314 | 10.8738 |
| 2.933 | 5.0 | 715 | 1.1421 | 45.7271 | 10.6075 |
| 2.933 | 6.0 | 858 | 0.9408 | 57.5952 | 10.6489 |
| 1.3478 | 7.0 | 1001 | 0.7880 | 65.9701 | 10.716 |
| 1.3478 | 8.0 | 1144 | 0.6725 | 73.9167 | 10.5937 |
| 1.3478 | 9.0 | 1287 | 0.6007 | 78.7528 | 10.645 |
| 1.3478 | 10.0 | 1430 | 0.5479 | 81.3326 | 10.643 |
| 0.6179 | 11.0 | 1573 | 0.5037 | 83.8208 | 10.6036 |
| 0.6179 | 12.0 | 1716 | 0.4726 | 85.822 | 10.6489 |
| 0.6179 | 13.0 | 1859 | 0.4489 | 87.3239 | 10.6529 |
| 0.3054 | 14.0 | 2002 | 0.4261 | 88.3752 | 10.6844 |
| 0.3054 | 15.0 | 2145 | 0.4220 | 89.6516 | 10.6923 |
| 0.3054 | 16.0 | 2288 | 0.4019 | 90.5766 | 10.6805 |
| 0.3054 | 17.0 | 2431 | 0.3967 | 91.0437 | 10.6982 |
| 0.1578 | 18.0 | 2574 | 0.3903 | 91.0284 | 10.714 |
| 0.1578 | 19.0 | 2717 | 0.3889 | 90.7559 | 10.7554 |
| 0.1578 | 20.0 | 2860 | 0.3846 | 91.3402 | 10.7101 |
| 0.0886 | 21.0 | 3003 | 0.3842 | 91.3279 | 10.7318 |
| 0.0886 | 22.0 | 3146 | 0.3888 | 91.6286 | 10.7199 |
| 0.0886 | 23.0 | 3289 | 0.3829 | 91.3329 | 10.7613 |
| 0.0886 | 24.0 | 3432 | 0.3824 | 91.42 | 10.7337 |
| 0.0536 | 25.0 | 3575 | 0.3849 | 91.5798 | 10.7298 |
| 0.0536 | 26.0 | 3718 | 0.3809 | 91.5241 | 10.7258 |
| 0.0536 | 27.0 | 3861 | 0.3810 | 91.7031 | 10.7199 |
| 0.0392 | 28.0 | 4004 | 0.3807 | 91.6602 | 10.712 |
| 0.0392 | 29.0 | 4147 | 0.3801 | 91.6217 | 10.7199 |
| 0.0392 | 30.0 | 4290 | 0.3798 | 91.6784 | 10.7258 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
Helsinki-NLP/opus-mt-lg-en