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nmt-mpst-id-en-lr_0.001-ep_20-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: 1.9735
- Bleu: 0.2017
- Meteor: 0.3744
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: 20
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Meteor |
|---|---|---|---|---|---|
| No log | 1.0 | 404 | 2.0539 | 0.1063 | 0.2561 |
| 2.5624 | 2.0 | 808 | 1.7616 | 0.1363 | 0.2966 |
| 1.7817 | 3.0 | 1212 | 1.6548 | 0.1612 | 0.325 |
| 1.4215 | 4.0 | 1616 | 1.6071 | 0.1725 | 0.3388 |
| 1.2099 | 5.0 | 2020 | 1.5886 | 0.1841 | 0.3517 |
| 1.2099 | 6.0 | 2424 | 1.5992 | 0.1882 | 0.3571 |
| 1.0117 | 7.0 | 2828 | 1.5909 | 0.1892 | 0.358 |
| 0.878 | 8.0 | 3232 | 1.6242 | 0.1947 | 0.3652 |
| 0.7881 | 9.0 | 3636 | 1.6626 | 0.197 | 0.3673 |
| 0.6932 | 10.0 | 4040 | 1.6918 | 0.196 | 0.3679 |
| 0.6932 | 11.0 | 4444 | 1.7347 | 0.1956 | 0.3683 |
| 0.6069 | 12.0 | 4848 | 1.7718 | 0.2008 | 0.3711 |
| 0.5426 | 13.0 | 5252 | 1.8005 | 0.2011 | 0.372 |
| 0.4946 | 14.0 | 5656 | 1.8383 | 0.201 | 0.3732 |
| 0.4414 | 15.0 | 6060 | 1.8713 | 0.2031 | 0.3743 |
| 0.4414 | 16.0 | 6464 | 1.9040 | 0.2025 | 0.3748 |
| 0.4039 | 17.0 | 6868 | 1.9381 | 0.202 | 0.3736 |
| 0.3661 | 18.0 | 7272 | 1.9497 | 0.2006 | 0.3732 |
| 0.3424 | 19.0 | 7676 | 1.9680 | 0.2009 | 0.3744 |
| 0.3253 | 20.0 | 8080 | 1.9735 | 0.2017 | 0.3744 |
Framework versions
- Transformers 4.24.0
- Pytorch 1.12.1+cu113
- Datasets 2.7.0
- Tokenizers 0.13.2
