metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: dialogsum
results: []
dialogsum
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0245
- Rouge1: 45.6581
- Rouge2: 15.9871
- Rougel: 43.5188
- Rougelsum: 43.913
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.2634 | 1.0 | 786 | 1.1040 | 42.2483 | 13.4135 | 40.3622 | 40.5436 | 19.0 |
| 1.1931 | 2.0 | 1572 | 1.0637 | 41.6604 | 14.0866 | 39.7604 | 39.9971 | 19.0 |
| 1.1347 | 3.0 | 2358 | 1.0421 | 45.0247 | 14.5438 | 42.8164 | 43.1956 | 19.0 |
| 1.1155 | 4.0 | 3144 | 1.0312 | 45.6977 | 16.2231 | 43.5457 | 43.8965 | 19.0 |
| 1.0827 | 5.0 | 3930 | 1.0245 | 45.6581 | 15.9871 | 43.5188 | 43.913 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.1+cu117
- Datasets 2.15.0
- Tokenizers 0.15.0