flan-t5-base-samsum_model_3
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: 1.4529
- Rouge1: 45.6393
- Rouge2: 28.4817
- Rougel: 42.2911
- Rougelsum: 43.1196
- Gen Len: 18.1892
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: 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: 30
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
No log | 1.0 | 33 | 2.0162 | 37.0638 | 19.7336 | 33.7411 | 34.3994 | 17.3604 |
No log | 2.0 | 66 | 1.8876 | 39.4107 | 21.2853 | 36.2051 | 36.9608 | 17.7658 |
No log | 3.0 | 99 | 1.7884 | 40.6159 | 22.7651 | 37.4066 | 38.0497 | 18.1171 |
No log | 4.0 | 132 | 1.7105 | 42.3741 | 25.2422 | 39.2729 | 40.1794 | 18.1982 |
No log | 5.0 | 165 | 1.6360 | 42.1734 | 25.0239 | 39.1515 | 40.0452 | 18.3874 |
No log | 6.0 | 198 | 1.5971 | 43.8499 | 27.134 | 40.6895 | 41.5456 | 18.3243 |
No log | 7.0 | 231 | 1.5776 | 44.414 | 27.7411 | 41.4884 | 42.2697 | 18.1081 |
No log | 8.0 | 264 | 1.5445 | 44.6134 | 27.3292 | 41.4632 | 42.163 | 18.1892 |
No log | 9.0 | 297 | 1.5247 | 45.5293 | 28.4399 | 42.2776 | 42.9934 | 18.0360 |
No log | 10.0 | 330 | 1.4952 | 45.9019 | 29.8113 | 43.073 | 43.6686 | 18.0811 |
No log | 11.0 | 363 | 1.4871 | 45.5634 | 28.1388 | 41.8117 | 42.447 | 18.3063 |
No log | 12.0 | 396 | 1.4604 | 45.6571 | 28.4288 | 42.3541 | 42.8206 | 18.3333 |
No log | 13.0 | 429 | 1.4595 | 46.4867 | 29.3814 | 43.219 | 43.8416 | 18.2523 |
No log | 14.0 | 462 | 1.4702 | 45.4699 | 28.0184 | 42.1961 | 42.9143 | 18.4324 |
No log | 15.0 | 495 | 1.4572 | 45.7874 | 28.7692 | 42.5542 | 43.2001 | 18.3604 |
1.2802 | 16.0 | 528 | 1.4535 | 46.2596 | 29.1805 | 42.8517 | 43.5507 | 18.2342 |
1.2802 | 17.0 | 561 | 1.4529 | 45.6393 | 28.4817 | 42.2911 | 43.1196 | 18.1892 |
1.2802 | 18.0 | 594 | 1.4574 | 45.5262 | 28.4542 | 42.3652 | 43.1119 | 18.2162 |
1.2802 | 19.0 | 627 | 1.4586 | 46.3006 | 29.1285 | 43.1952 | 43.8849 | 18.0811 |
1.2802 | 20.0 | 660 | 1.4712 | 45.9096 | 28.4353 | 42.7121 | 43.427 | 18.0631 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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