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: 1.1782
- Rouge1: 51.8379
- Rouge2: 41.3714
- Rougel: 51.9665
- Rougelsum: 51.9518
- Gen Len: 6.8067
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 |
|---|---|---|---|---|---|---|---|---|
| 1.2491 | 1.0 | 3079 | 1.2203 | 51.123 | 40.4019 | 51.1098 | 51.1009 | 6.8389 |
| 1.0688 | 2.0 | 6158 | 1.1890 | 50.7818 | 40.0174 | 50.827 | 50.8336 | 6.7285 |
| 1.0126 | 3.0 | 9237 | 1.1782 | 51.8379 | 41.3714 | 51.9665 | 51.9518 | 6.8067 |
| 0.9778 | 4.0 | 12316 | 1.1825 | 51.1751 | 40.5841 | 51.231 | 51.254 | 6.8103 |
| 0.9071 | 5.0 | 15395 | 1.1858 | 51.0503 | 40.212 | 51.1279 | 51.1203 | 6.7655 |
Framework versions
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2