metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xsum
metrics:
- rouge
model-index:
- name: t5_finetuned_xsum_hr
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: xsum
type: xsum
config: default
split: train
args: default
metrics:
- name: Rouge1
type: rouge
value: 29.1239
t5_finetuned_xsum_hr
This model is a fine-tuned version of t5-small on the xsum dataset. It achieves the following results on the evaluation set:
- Loss: 2.4224
- Rouge1: 29.1239
- Rouge2: 8.3165
- Rougel: 22.9946
- Rougelsum: 22.9996
- Gen Len: 18.819
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.6839 | 1.0 | 12753 | 2.4474 | 28.721 | 8.0397 | 22.6568 | 22.6527 | 18.8324 |
| 2.6425 | 2.0 | 25506 | 2.4224 | 29.1239 | 8.3165 | 22.9946 | 22.9996 | 18.819 |
Framework versions
- Transformers 4.21.0
- Pytorch 1.12.0
- Datasets 2.4.0
- Tokenizers 0.12.1