metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-hardaDerailKP
results: []
t5-small-hardaDerailKP
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1390
- Rouge1: 51.5946
- Rouge2: 41.2028
- Rougel: 51.4341
- Rougelsum: 51.4546
- Gen Len: 6.3538
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 |
|---|---|---|---|---|---|---|---|---|
| 1.2197 | 1.0 | 6157 | 1.1987 | 51.1834 | 39.9631 | 51.1841 | 51.1643 | 6.7607 |
| 0.9954 | 2.0 | 12314 | 1.1706 | 50.7977 | 39.619 | 50.6689 | 50.6616 | 6.3795 |
| 0.9489 | 3.0 | 18471 | 1.1442 | 52.3555 | 42.2113 | 52.2724 | 52.2803 | 6.3484 |
| 0.8887 | 4.0 | 24628 | 1.1390 | 51.5946 | 41.2028 | 51.4341 | 51.4546 | 6.3538 |
| 0.8414 | 5.0 | 30785 | 1.1799 | 51.9184 | 41.1821 | 51.8954 | 51.8789 | 6.7852 |
| 0.753 | 6.0 | 36942 | 1.1829 | 52.4824 | 41.3235 | 52.3505 | 52.3882 | 6.6134 |
| 0.7471 | 7.0 | 43099 | 1.1995 | 51.3876 | 40.6408 | 51.2487 | 51.277 | 6.6271 |
| 0.7327 | 8.0 | 49256 | 1.2001 | 51.6537 | 40.8793 | 51.4822 | 51.542 | 6.6366 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2