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flan-t5-base-tldr-100k
This model is a fine-tuned version of google/flan-t5-base on the first 100.000 samples of the Reddit TL;DR dataset. It achieves the following results on the evaluation set:
- Loss: 2.7323
- Rouge1: 17.0772
- Rouge2: 4.4204
- Rougel: 14.549
- Rougelsum: 15.0148
- Gen Len: 16.0925
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: 5
Training results
| Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|---|
| 3.1467 | 1.0 | 11250 | 16.4911 | 2.9531 | 15.909 | 3.8156 | 13.4884 | 13.9568 |
| 3.0673 | 2.0 | 22500 | 16.4639 | 2.9318 | 16.4972 | 3.9757 | 13.9517 | 14.4336 |
| 2.9952 | 3.0 | 33750 | 16.2585 | 2.9245 | 16.5997 | 4.1068 | 14.0299 | 14.5147 |
| 2.9524 | 4.0 | 45000 | 2.7323 | 17.0772 | 4.4204 | 14.549 | 15.0148 | 16.0925 |
| 2.9223 | 5.0 | 56250 | 2.7328 | 17.1468 | 4.4384 | 14.5798 | 15.0572 | 16.2163 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.2
