metadata
license: apache-2.0
base_model: google/flan-t5-base
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: 47.0613
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: 1.3733
- Rouge1: 47.0613
- Rouge2: 23.3862
- Rougel: 39.7982
- Rougelsum: 43.3754
- Gen Len: 17.2308
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: 32
- eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 461 | 1.3902 | 46.6525 | 23.0352 | 39.1875 | 42.9396 | 17.2601 |
| 1.4553 | 2.0 | 922 | 1.3787 | 47.2118 | 23.4378 | 39.5672 | 43.4137 | 17.1355 |
| 1.3763 | 3.0 | 1383 | 1.3737 | 47.2951 | 23.5914 | 39.7571 | 43.457 | 17.1966 |
| 1.3412 | 4.0 | 1844 | 1.3750 | 47.2382 | 23.697 | 39.9147 | 43.5955 | 17.3443 |
| 1.3045 | 5.0 | 2305 | 1.3733 | 47.0613 | 23.3862 | 39.7982 | 43.3754 | 17.2308 |
Framework versions
- Transformers 4.42.4
- Pytorch 1.13.1+cu117
- Datasets 2.20.0
- Tokenizers 0.19.1