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: 47.2382
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: 1.3743
- Rouge1: 47.2382
- Rouge2: 23.4804
- Rougel: 39.8351
- Rougelsum: 43.4095
- Gen Len: 17.2466
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: 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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.4528 | 1.0 | 1842 | 1.3867 | 46.685 | 22.7943 | 39.0727 | 42.8127 | 17.3993 |
| 1.3385 | 2.0 | 3684 | 1.3751 | 46.8933 | 23.2744 | 39.1745 | 42.9794 | 17.3431 |
| 1.2711 | 3.0 | 5526 | 1.3745 | 47.2394 | 23.4686 | 39.6293 | 43.4636 | 17.4493 |
| 1.2284 | 4.0 | 7368 | 1.3743 | 47.2382 | 23.4804 | 39.8351 | 43.4095 | 17.2466 |
| 1.2085 | 5.0 | 9210 | 1.3759 | 47.4009 | 23.7556 | 39.8367 | 43.6224 | 17.2967 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0