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tokipona_model_v0.3
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3850
- Bleu: 4.7891
- Gen Len: 17.9507
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: 0.0002
- 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 | 2.2953 | 0.285 | 19.0 |
| No log | 2.0 | 110 | 1.9083 | 0.3426 | 19.0 |
| No log | 3.0 | 165 | 1.7123 | 0.6444 | 18.6404 |
| No log | 4.0 | 220 | 1.6110 | 1.1193 | 17.7291 |
| No log | 5.0 | 275 | 1.5440 | 0.9035 | 17.8621 |
| No log | 6.0 | 330 | 1.4924 | 0.8067 | 17.8424 |
| No log | 7.0 | 385 | 1.4654 | 0.8635 | 17.8079 |
| No log | 8.0 | 440 | 1.4445 | 2.3215 | 17.6059 |
| No log | 9.0 | 495 | 1.4319 | 2.5679 | 17.4384 |
| 1.8308 | 10.0 | 550 | 1.4178 | 2.3622 | 17.7783 |
| 1.8308 | 11.0 | 605 | 1.4011 | 3.6065 | 17.6995 |
| 1.8308 | 12.0 | 660 | 1.3969 | 3.8257 | 17.8768 |
| 1.8308 | 13.0 | 715 | 1.3930 | 4.7373 | 17.8325 |
| 1.8308 | 14.0 | 770 | 1.3864 | 4.7501 | 17.9113 |
| 1.8308 | 15.0 | 825 | 1.3850 | 4.7891 | 17.9507 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.0+cu118
- Datasets 2.11.0
- Tokenizers 0.13.3
