metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
datasets:
- eli5
metrics:
- rouge
model-index:
- name: eli5
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: eli5
type: eli5
config: LFQA_reddit
split: validation_eli5
args: LFQA_reddit
metrics:
- name: Rouge1
type: rouge
value: 14.6325
eli5
This model is a fine-tuned version of t5-base on the eli5 dataset. It achieves the following results on the evaluation set:
- Loss: 2.2569
- Rouge1: 14.6325
- Rouge2: 2.3714
- Rougel: 11.2941
- Rougelsum: 13.2006
- Gen Len: 18.9911
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: 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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4057 | 1.0 | 34080 | 2.2708 | 14.6356 | 2.3501 | 11.3428 | 13.213 | 18.9946 |
| 2.3943 | 2.0 | 68160 | 2.2569 | 14.6325 | 2.3714 | 11.2941 | 13.2006 | 18.9911 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.1.0
- Datasets 2.14.5
- Tokenizers 0.14.1