metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-query-expansion-merged-lr-2e-4-ep-30
results: []
flan-t5-small-query-expansion-merged-lr-2e-4-ep-30
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0687
- Rouge1: 88.0058
- Rouge2: 86.0177
- Rougel: 87.4622
- Rougelsum: 87.8743
- Gen Len: 18.3001
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 30
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.5903 | 1.0 | 3377 | 0.6694 | 64.0967 | 45.4218 | 57.4907 | 61.0826 | 18.3315 |
| 0.6513 | 2.0 | 6754 | 0.5487 | 66.0187 | 48.1106 | 59.9204 | 63.1815 | 18.2596 |
| 0.8114 | 3.0 | 10131 | 0.4678 | 68.4505 | 52.0787 | 63.0805 | 66.1556 | 18.2296 |
| 0.4854 | 4.0 | 13508 | 0.3981 | 69.9674 | 54.7741 | 64.9602 | 67.9319 | 18.2352 |
| 0.5574 | 5.0 | 16885 | 0.3512 | 71.8602 | 57.3778 | 67.222 | 69.9169 | 18.1424 |
| 0.5343 | 6.0 | 20262 | 0.3047 | 72.9426 | 59.4383 | 68.6726 | 71.1382 | 18.0677 |
| 0.5003 | 7.0 | 23639 | 0.2670 | 74.6434 | 62.3906 | 71.017 | 73.1537 | 18.2826 |
| 0.4381 | 8.0 | 27016 | 0.2366 | 75.5879 | 63.5581 | 71.9563 | 74.0976 | 18.2247 |
| 0.4298 | 9.0 | 30393 | 0.2065 | 77.1535 | 66.3128 | 74.04 | 75.8557 | 18.1933 |
| 0.3524 | 10.0 | 33770 | 0.1877 | 78.2066 | 68.6445 | 75.2292 | 77.1067 | 18.2107 |
| 0.3374 | 11.0 | 37147 | 0.1650 | 79.2401 | 70.0953 | 76.392 | 78.1788 | 18.1982 |
| 0.2578 | 12.0 | 40524 | 0.1424 | 80.3072 | 72.4561 | 78.1583 | 79.5657 | 18.2659 |
| 0.2468 | 13.0 | 43901 | 0.1280 | 81.8419 | 75.2485 | 80.0524 | 81.2131 | 18.2401 |
| 0.2079 | 14.0 | 47278 | 0.1147 | 82.7505 | 76.7955 | 81.1375 | 82.1929 | 18.2212 |
| 0.1632 | 15.0 | 50655 | 0.1023 | 83.7303 | 78.3819 | 82.1019 | 83.1492 | 18.2826 |
| 0.1669 | 16.0 | 54032 | 0.0945 | 84.5118 | 79.8875 | 83.2797 | 84.1232 | 18.2561 |
| 0.1974 | 17.0 | 57409 | 0.0886 | 85.5067 | 81.4914 | 84.3091 | 85.178 | 18.2840 |
| 0.1461 | 18.0 | 60786 | 0.0829 | 85.9375 | 82.3743 | 85.025 | 85.6625 | 18.2805 |
| 0.1262 | 19.0 | 64163 | 0.0797 | 86.3679 | 83.1603 | 85.507 | 86.0875 | 18.2722 |
| 0.0982 | 20.0 | 67540 | 0.0759 | 87.215 | 84.5141 | 86.4955 | 86.9934 | 18.2770 |
| 0.087 | 21.0 | 70917 | 0.0726 | 87.2046 | 84.548 | 86.4369 | 86.9678 | 18.2924 |
| 0.0914 | 22.0 | 74294 | 0.0715 | 87.7024 | 85.3997 | 86.9993 | 87.4716 | 18.2882 |
| 0.0945 | 23.0 | 77671 | 0.0703 | 87.8468 | 85.7513 | 87.2094 | 87.6558 | 18.2896 |
| 0.0586 | 24.0 | 81048 | 0.0698 | 87.883 | 85.8184 | 87.3243 | 87.692 | 18.2882 |
| 0.062 | 25.0 | 84425 | 0.0689 | 87.9345 | 85.9142 | 87.3693 | 87.7799 | 18.2875 |
| 0.0758 | 26.0 | 87802 | 0.0687 | 87.9042 | 85.8727 | 87.3166 | 87.7249 | 18.2903 |
| 0.0771 | 27.0 | 91179 | 0.0686 | 87.989 | 86.0401 | 87.4768 | 87.8379 | 18.2882 |
| 0.0744 | 28.0 | 94556 | 0.0687 | 88.0227 | 86.0604 | 87.4917 | 87.8992 | 18.3001 |
| 0.0419 | 29.0 | 97933 | 0.0687 | 88.0058 | 86.0177 | 87.4622 | 87.8743 | 18.3001 |
| 0.0615 | 30.0 | 101310 | 0.0687 | 88.0058 | 86.0177 | 87.4622 | 87.8743 | 18.3001 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2