metadata
license: apache-2.0
base_model: t5-small
tags:
- generated_from_trainer
datasets:
- wikihow
metrics:
- rouge
model-index:
- name: wikihow_t5small_model
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: wikihow
type: wikihow
config: all
split: test
args: all
metrics:
- name: Rouge1
type: rouge
value: 0.2067
wikihow_t5small_model
This model is a fine-tuned version of t5-small on the wikihow dataset. It achieves the following results on the evaluation set:
- Loss: 2.9412
- Rouge1: 0.2067
- Rouge2: 0.0618
- Rougel: 0.17
- Rougelsum: 0.1698
- Gen Len: 18.864
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 3.4224 | 1.0 | 1250 | 3.0417 | 0.2045 | 0.0591 | 0.1659 | 0.1657 | 18.873 |
| 3.2253 | 2.0 | 2500 | 2.9721 | 0.2052 | 0.0603 | 0.168 | 0.1678 | 18.858 |
| 3.1943 | 3.0 | 3750 | 2.9477 | 0.2075 | 0.0621 | 0.1704 | 0.1701 | 18.876 |
| 3.1793 | 4.0 | 5000 | 2.9412 | 0.2067 | 0.0618 | 0.17 | 0.1698 | 18.864 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0