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results
This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3877
- Rouge1: 0.1916
- Rouge2: 0.0900
- Rougel: 0.1578
- Rougelsum: 0.1799
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: 8e-05
- train_batch_size: 8
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 17 | 6.3841 | 0.0258 | 0.0043 | 0.0256 | 0.0255 |
| No log | 2.0 | 34 | 3.6116 | 0.0214 | 0.0020 | 0.0193 | 0.0203 |
| No log | 3.0 | 51 | 1.7410 | 0.0075 | 0.0016 | 0.0070 | 0.0071 |
| No log | 4.0 | 68 | 0.8219 | 0.0037 | 0.0013 | 0.0025 | 0.0025 |
| No log | 5.0 | 85 | 0.6052 | 0.0095 | 0.0050 | 0.0067 | 0.0074 |
| No log | 6.0 | 102 | 0.4904 | 0.1239 | 0.0566 | 0.0988 | 0.1164 |
| No log | 7.0 | 119 | 0.4477 | 0.1669 | 0.0745 | 0.1366 | 0.1570 |
| No log | 8.0 | 136 | 0.4218 | 0.1765 | 0.0781 | 0.1464 | 0.1665 |
| No log | 9.0 | 153 | 0.4044 | 0.1923 | 0.0955 | 0.1604 | 0.1845 |
| No log | 10.0 | 170 | 0.3937 | 0.1909 | 0.0967 | 0.1636 | 0.1794 |
| No log | 11.0 | 187 | 0.3887 | 0.1919 | 0.0893 | 0.1594 | 0.1795 |
| No log | 11.76 | 200 | 0.3877 | 0.1916 | 0.0900 | 0.1578 | 0.1799 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
