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nmt-mpst-id-en-lr_0.001-ep_30-seq_128_bs-16
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.3591
- Bleu: 0.2073
- Meteor: 0.3779
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: 0.001
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor |
|---|---|---|---|---|---|
| No log | 1.0 | 404 | 2.0642 | 0.1068 | 0.2561 |
| 2.5607 | 2.0 | 808 | 1.7482 | 0.1392 | 0.299 |
| 1.7768 | 3.0 | 1212 | 1.6392 | 0.1614 | 0.325 |
| 1.4132 | 4.0 | 1616 | 1.6131 | 0.1728 | 0.3418 |
| 1.205 | 5.0 | 2020 | 1.5724 | 0.1854 | 0.3543 |
| 1.205 | 6.0 | 2424 | 1.5988 | 0.1897 | 0.3592 |
| 1.0069 | 7.0 | 2828 | 1.5839 | 0.1922 | 0.3618 |
| 0.8711 | 8.0 | 3232 | 1.6187 | 0.196 | 0.3678 |
| 0.7759 | 9.0 | 3636 | 1.6453 | 0.1968 | 0.3672 |
| 0.6838 | 10.0 | 4040 | 1.6837 | 0.1981 | 0.3685 |
| 0.6838 | 11.0 | 4444 | 1.7401 | 0.1976 | 0.3698 |
| 0.5903 | 12.0 | 4848 | 1.7686 | 0.2016 | 0.3712 |
| 0.5207 | 13.0 | 5252 | 1.8075 | 0.2026 | 0.3733 |
| 0.4712 | 14.0 | 5656 | 1.8665 | 0.2028 | 0.3743 |
| 0.4154 | 15.0 | 6060 | 1.9114 | 0.204 | 0.3746 |
| 0.4154 | 16.0 | 6464 | 1.9556 | 0.2036 | 0.376 |
| 0.3726 | 17.0 | 6868 | 1.9961 | 0.2011 | 0.374 |
| 0.326 | 18.0 | 7272 | 2.0437 | 0.2027 | 0.3739 |
| 0.2936 | 19.0 | 7676 | 2.0946 | 0.2038 | 0.3754 |
| 0.2671 | 20.0 | 8080 | 2.1319 | 0.2041 | 0.374 |
| 0.2671 | 21.0 | 8484 | 2.1717 | 0.2044 | 0.3756 |
| 0.2407 | 22.0 | 8888 | 2.2025 | 0.2045 | 0.3756 |
| 0.2143 | 23.0 | 9292 | 2.2375 | 0.2031 | 0.3734 |
| 0.1974 | 24.0 | 9696 | 2.2544 | 0.2057 | 0.3765 |
| 0.182 | 25.0 | 10100 | 2.2875 | 0.2057 | 0.3767 |
| 0.1686 | 26.0 | 10504 | 2.3153 | 0.2048 | 0.3762 |
| 0.1686 | 27.0 | 10908 | 2.3395 | 0.2063 | 0.3786 |
| 0.1548 | 28.0 | 11312 | 2.3493 | 0.2071 | 0.3783 |
| 0.145 | 29.0 | 11716 | 2.3569 | 0.2072 | 0.3781 |
| 0.1412 | 30.0 | 12120 | 2.3591 | 0.2073 | 0.3779 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
