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: 47.4138
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: 1.3717
- Rouge1: 47.4138
- Rouge2: 23.7051
- Rougel: 40.0689
- Rougelsum: 43.6335
- Gen Len: 17.0745
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 |
|---|---|---|---|---|---|---|---|---|
| 1.4543 | 1.0 | 1842 | 1.3866 | 46.7678 | 22.9561 | 39.1377 | 43.068 | 17.5531 |
| 1.3399 | 2.0 | 3684 | 1.3731 | 47.2896 | 24.0391 | 40.0258 | 43.7449 | 17.3297 |
| 1.2788 | 3.0 | 5526 | 1.3717 | 47.4138 | 23.7051 | 40.0689 | 43.6335 | 17.0745 |
| 1.2239 | 4.0 | 7368 | 1.3752 | 47.6634 | 24.1918 | 40.1481 | 44.0084 | 17.4676 |
| 1.1997 | 5.0 | 9210 | 1.3755 | 47.3995 | 23.7499 | 39.8569 | 43.6053 | 17.3932 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2