metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: nvl
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: test
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 42.7355
nvl
This model is a fine-tuned version of t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.7103
- Rouge1: 42.7355
- Rouge2: 19.1453
- Rougel: 35.3875
- Rougelsum: 39.3317
- Gen Len: 16.8694
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 |
|---|---|---|---|---|---|---|---|---|
| 2.0196 | 1.0 | 1842 | 1.7910 | 40.8317 | 17.2049 | 33.7121 | 37.4759 | 16.8388 |
| 1.8885 | 2.0 | 3684 | 1.7466 | 41.8713 | 18.2939 | 34.7126 | 38.3646 | 16.6862 |
| 1.8233 | 3.0 | 5526 | 1.7264 | 42.2002 | 18.8391 | 35.044 | 38.8975 | 17.1184 |
| 1.8024 | 4.0 | 7368 | 1.7131 | 42.5292 | 19.118 | 35.4246 | 39.2763 | 16.8339 |
| 1.7821 | 5.0 | 9210 | 1.7103 | 42.7355 | 19.1453 | 35.3875 | 39.3317 | 16.8694 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0