metadata
license: apache-2.0
base_model: google/flan-t5-base
tags:
- summarization
- generated_from_trainer
datasets:
- samsum
metrics:
- rouge
model-index:
- name: notification-hub
results:
- task:
name: Sequence-to-sequence Language Modeling
type: text2text-generation
dataset:
name: samsum
type: samsum
config: samsum
split: validation
args: samsum
metrics:
- name: Rouge1
type: rouge
value: 44.34200782349507
notification-hub
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: 1.5633
- Rougel: 38.3354
- Rouge1: 44.3420
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rougel | Rouge1 |
|---|---|---|---|---|---|
| 1.6364 | 1.0 | 2482 | 1.5543 | 37.6025 | 43.5207 |
| 1.4764 | 2.0 | 4964 | 1.5466 | 38.2764 | 44.0569 |
| 1.3991 | 3.0 | 7446 | 1.5556 | 38.2109 | 43.9420 |
| 1.3365 | 4.0 | 9928 | 1.5633 | 38.3354 | 44.3420 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0