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pima-diabetes
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1017
- Rouge1: 87.4026
- Rouge2: 76.1364
- Rougel: 87.2727
- Rougelsum: 87.2727
- Gen Len: 6.8442
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: 5e-05
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 39 | 0.1038 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 2.0 | 78 | 0.1191 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 3.0 | 117 | 0.1026 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 4.0 | 156 | 0.1027 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 5.0 | 195 | 0.1026 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 6.0 | 234 | 0.1025 | 86.4935 | 74.6753 | 86.4935 | 86.4935 | 6.9870 |
| No log | 7.0 | 273 | 0.1030 | 86.7532 | 75.1623 | 86.7532 | 86.7532 | 7.0 |
| No log | 8.0 | 312 | 0.1031 | 83.6364 | 69.3182 | 83.6364 | 83.6364 | 6.5325 |
| No log | 9.0 | 351 | 0.1024 | 86.4935 | 74.6753 | 86.4935 | 86.4935 | 6.9610 |
| No log | 10.0 | 390 | 0.1017 | 87.4026 | 76.1364 | 87.2727 | 87.2727 | 6.8442 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.0
- Datasets 2.14.5
- Tokenizers 0.13.3
