flan-t5-small
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3909
- Rouge1: 43.9584
- Rouge2: 34.6235
- Rougel: 42.6933
- Rougelsum: 42.1079
- Gen Len: 19.0
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 | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 2.4403 | 25.3933 | 13.7472 | 24.1753 | 25.139 | 18.6279 |
| No log | 2.0 | 44 | 1.7941 | 44.8683 | 34.5587 | 43.0041 | 42.8714 | 19.0 |
| No log | 3.0 | 66 | 1.5390 | 43.9584 | 34.6235 | 42.6933 | 42.1079 | 19.0 |
| No log | 4.0 | 88 | 1.4240 | 43.9584 | 34.6235 | 42.6933 | 42.1079 | 19.0 |
| No log | 5.0 | 110 | 1.3909 | 43.9584 | 34.6235 | 42.6933 | 42.1079 | 19.0 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.0
- Tokenizers 0.15.0