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t5-base-standardized-color
This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2702
- Rouge1: 58.8296
- Rouge2: 50.9332
- Rougel: 58.2604
- Rougelsum: 58.323
- Gen Len: 16.2521
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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 236 | 0.3490 | 49.2479 | 40.2468 | 48.6246 | 48.5062 | 18.0148 |
| No log | 2.0 | 472 | 0.3080 | 52.8701 | 44.4405 | 52.3371 | 52.2684 | 17.1589 |
| 0.3775 | 3.0 | 708 | 0.2871 | 55.4404 | 46.9716 | 54.9257 | 54.8833 | 16.9004 |
| 0.3775 | 4.0 | 944 | 0.2792 | 61.4338 | 53.5456 | 60.9375 | 61.0613 | 15.0636 |
| 0.2834 | 5.0 | 1180 | 0.2789 | 56.7293 | 48.3876 | 56.1734 | 56.2194 | 16.6589 |
| 0.2834 | 6.0 | 1416 | 0.2742 | 53.2995 | 44.7666 | 52.7346 | 52.7591 | 17.3644 |
| 0.2553 | 7.0 | 1652 | 0.2757 | 57.3854 | 49.1456 | 56.6424 | 56.7503 | 16.5318 |
| 0.2553 | 8.0 | 1888 | 0.2717 | 56.9399 | 48.9799 | 56.405 | 56.4246 | 16.7055 |
| 0.2393 | 9.0 | 2124 | 0.2703 | 58.4279 | 50.4598 | 57.8832 | 57.9165 | 16.3856 |
| 0.2393 | 10.0 | 2360 | 0.2702 | 58.8296 | 50.9332 | 58.2604 | 58.323 | 16.2521 |
Framework versions
- Transformers 4.33.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
