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tokipona_to_eng_model_v0.1
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 5.0757
- Bleu: 2.1864
- Gen Len: 11.867
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: 0.002
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 55 | 3.7998 | 1.6168 | 13.0394 |
| No log | 2.0 | 110 | 3.6119 | 0.7534 | 13.2315 |
| No log | 3.0 | 165 | 3.6447 | 0.6867 | 13.0443 |
| No log | 4.0 | 220 | 3.7115 | 1.0019 | 12.0148 |
| No log | 5.0 | 275 | 3.8782 | 1.3715 | 13.2217 |
| No log | 6.0 | 330 | 4.0107 | 1.7444 | 11.266 |
| No log | 7.0 | 385 | 4.1611 | 2.7707 | 11.665 |
| No log | 8.0 | 440 | 4.3828 | 3.0123 | 12.0985 |
| No log | 9.0 | 495 | 4.5123 | 3.0296 | 12.6502 |
| 2.3706 | 10.0 | 550 | 4.6470 | 2.3476 | 11.8768 |
| 2.3706 | 11.0 | 605 | 4.8186 | 2.0611 | 12.1182 |
| 2.3706 | 12.0 | 660 | 4.8997 | 2.173 | 11.6995 |
| 2.3706 | 13.0 | 715 | 4.9742 | 2.2424 | 12.1576 |
| 2.3706 | 14.0 | 770 | 5.0570 | 2.0142 | 12.2611 |
| 2.3706 | 15.0 | 825 | 5.0757 | 2.1864 | 11.867 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
