t5-small-finetuned-dialogsum
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2771
- Rouge1: 36.5788
- Rouge2: 13.75
- Rougel: 30.9066
- Rougelsum: 32.8118
- Gen Len: 18.846
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: 2e-05
- train_batch_size: 3
- eval_batch_size: 3
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4705 | 1.0 | 4154 | 1.3514 | 34.3952 | 11.8123 | 28.9797 | 31.003 | 18.76 |
| 1.418 | 2.0 | 8308 | 1.3023 | 35.904 | 12.9905 | 30.3195 | 32.1809 | 18.83 |
| 1.3933 | 3.0 | 12462 | 1.2832 | 36.1796 | 13.6096 | 30.6577 | 32.5292 | 18.884 |
| 1.3875 | 4.0 | 16616 | 1.2771 | 36.5788 | 13.75 | 30.9066 | 32.8118 | 18.846 |
Framework versions
- Transformers 4.26.0
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2