metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5_small_ten_epoch
results: []
t5_small_ten_epoch
This model is a fine-tuned version of t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.2845
- Rouge1: 0.3621
- Rouge2: 0.2114
- Rougel: 0.2982
- Rougelsum: 0.297
- Gen Len: 17.52
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: 4
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 275 | 2.8863 | 0.1507 | 0.0472 | 0.1346 | 0.1338 | 17.67 |
| 3.0473 | 2.0 | 550 | 2.6258 | 0.2558 | 0.1233 | 0.228 | 0.2293 | 17.49 |
| 3.0473 | 3.0 | 825 | 2.5073 | 0.318 | 0.1732 | 0.2682 | 0.2683 | 17.33 |
| 2.5236 | 4.0 | 1100 | 2.4166 | 0.3364 | 0.1893 | 0.2823 | 0.2822 | 17.25 |
| 2.5236 | 5.0 | 1375 | 2.3721 | 0.3506 | 0.2051 | 0.2927 | 0.2917 | 17.17 |
| 2.3768 | 6.0 | 1650 | 2.3339 | 0.3566 | 0.2101 | 0.2952 | 0.2944 | 17.3 |
| 2.3768 | 7.0 | 1925 | 2.3150 | 0.3546 | 0.2089 | 0.2903 | 0.2899 | 17.46 |
| 2.2982 | 8.0 | 2200 | 2.2954 | 0.3604 | 0.2144 | 0.2947 | 0.2941 | 17.53 |
| 2.2982 | 9.0 | 2475 | 2.2885 | 0.3627 | 0.213 | 0.2955 | 0.2945 | 17.52 |
| 2.2608 | 10.0 | 2750 | 2.2845 | 0.3621 | 0.2114 | 0.2982 | 0.297 | 17.52 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1