metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: flan-t5-base-samsum
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: 47.1222
flan-t5-base-samsum
This model is a fine-tuned version of google/flan-t5-base on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 1.3701
- Rouge1: 47.1222
- Rouge2: 23.3908
- Rougel: 39.7231
- Rougelsum: 43.3842
- Gen Len: 17.1465
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4683 | 1.0 | 921 | 1.3897 | 46.737 | 23.2046 | 39.4441 | 43.2001 | 17.1526 |
| 1.3586 | 2.0 | 1842 | 1.3726 | 47.2757 | 23.701 | 39.7059 | 43.502 | 17.2222 |
| 1.3138 | 3.0 | 2763 | 1.3701 | 47.1222 | 23.3908 | 39.7231 | 43.3842 | 17.1465 |
| 1.2828 | 4.0 | 3684 | 1.3737 | 47.3039 | 23.5383 | 39.8402 | 43.5561 | 17.3309 |
| 1.2492 | 5.0 | 4605 | 1.3738 | 47.557 | 23.7814 | 40.1904 | 43.89 | 17.2332 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3