metadata
license: apache-2.0
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-base-xsum-swe
results: []
inference:
parameters:
temperature: 0.7
min_length: 30
max_length: 120
flan-t5-base-xsum-swe
This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4174
- Rouge1: 20.3004
- Rouge2: 6.2309
- Rougel: 17.5863
- Rougelsum: 17.5827
- Gen Len: 18.9998
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 |
|---|---|---|---|---|---|---|---|---|
| 1.8384 | 1.0 | 12751 | 1.6491 | 19.0409 | 5.1339 | 16.3642 | 16.3725 | 19.0 |
| 1.6806 | 2.0 | 25502 | 1.5189 | 19.882 | 5.7451 | 17.1187 | 17.1233 | 19.0 |
| 1.5961 | 3.0 | 38253 | 1.4575 | 20.237 | 6.1009 | 17.4642 | 17.4647 | 18.9998 |
| 1.5556 | 4.0 | 51004 | 1.4268 | 20.2998 | 6.2217 | 17.5423 | 17.541 | 18.9998 |
| 1.5429 | 5.0 | 63755 | 1.4174 | 20.3004 | 6.2309 | 17.5863 | 17.5827 | 18.9998 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2