metadata
library_name: transformers
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: 47.355
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: 1.3736
- Rouge1: 47.355
- Rouge2: 23.7601
- Rougel: 39.8403
- Rougelsum: 43.4718
- Gen Len: 17.1575
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 |
|---|---|---|---|---|---|---|---|---|
| 1.3641 | 1.0 | 921 | 1.3780 | 47.4054 | 23.6308 | 39.8273 | 43.3697 | 17.3004 |
| 1.3074 | 2.0 | 1842 | 1.3736 | 47.355 | 23.7601 | 39.8403 | 43.4718 | 17.1575 |
| 1.2592 | 3.0 | 2763 | 1.3740 | 47.2208 | 23.4972 | 39.7293 | 43.2546 | 17.2320 |
| 1.2232 | 4.0 | 3684 | 1.3794 | 47.9156 | 24.2451 | 40.2628 | 43.9122 | 17.4017 |
| 1.2042 | 5.0 | 4605 | 1.3780 | 47.8982 | 24.1707 | 40.2955 | 43.8939 | 17.3712 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0
- Datasets 3.0.0
- Tokenizers 0.19.1