metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-ufloodKP
results: []
t5-small-ufloodKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.2340
- Rouge1: 51.1957
- Rouge2: 38.6274
- Rougel: 51.029
- Rougelsum: 50.9936
- Gen Len: 7.2789
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1747 | 1.0 | 6058 | 1.2542 | 52.1875 | 40.2309 | 51.9801 | 51.9847 | 8.1324 |
| 1.0245 | 2.0 | 12116 | 1.2340 | 51.1957 | 38.6274 | 51.029 | 50.9936 | 7.2789 |
| 0.9058 | 3.0 | 18174 | 1.2498 | 51.6649 | 38.9989 | 51.5003 | 51.5001 | 7.6738 |
| 0.8717 | 4.0 | 24232 | 1.2799 | 51.6254 | 38.7551 | 51.5113 | 51.5324 | 7.9947 |
| 0.7923 | 5.0 | 30290 | 1.2744 | 52.241 | 39.1567 | 52.0777 | 52.0785 | 8.0851 |
| 0.7674 | 6.0 | 36348 | 1.2981 | 52.1724 | 39.1874 | 51.9824 | 51.9644 | 7.7757 |
| 0.727 | 7.0 | 42406 | 1.3060 | 52.0124 | 39.0293 | 51.8309 | 51.8109 | 7.8134 |
| 0.7335 | 8.0 | 48464 | 1.3128 | 52.1094 | 39.048 | 51.9469 | 51.97 | 7.9159 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2