metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- cnn_dailymail
metrics:
- rouge
model-index:
- name: flan-t5-base-cnn_dailymail
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: cnn_dailymail
type: cnn_dailymail
config: 3.0.0
split: test
args: 3.0.0
metrics:
- name: Rouge1
type: rouge
value: 24.6545
flan-t5-base-cnn_dailymail
This model is a fine-tuned version of t5-small on the cnn_dailymail dataset. It achieves the following results on the evaluation set:
- Loss: 1.8013
- Rouge1: 24.6545
- Rouge2: 11.7282
- Rougel: 20.3578
- Rougelsum: 23.1966
- Gen Len: 18.9989
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.0058 | 1.0 | 17945 | 1.8259 | 24.6279 | 11.6692 | 20.3361 | 23.1875 | 18.9988 |
| 1.97 | 2.0 | 35890 | 1.8158 | 24.6935 | 11.7554 | 20.4015 | 23.2584 | 18.9985 |
| 1.962 | 3.0 | 53835 | 1.8095 | 24.6151 | 11.7178 | 20.3361 | 23.1781 | 18.9993 |
| 1.9551 | 4.0 | 71780 | 1.8040 | 24.6127 | 11.7364 | 20.3473 | 23.17 | 18.9989 |
| 1.9515 | 5.0 | 89725 | 1.8013 | 24.6545 | 11.7282 | 20.3578 | 23.1966 | 18.9989 |
Framework versions
- Transformers 4.29.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3