metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flanT5_small_title_desc
results: []
flanT5_small_title_desc
This model is a fine-tuned version of google/flan-t5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0198
- Rouge1: 2.9385
- Rouge2: 1.7278
- Rougel: 2.3658
- Rougelsum: 2.5451
- Gen Len: 18.9634
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 |
|---|---|---|---|---|---|---|---|---|
| 0.0781 | 1.0 | 2020 | 0.0496 | 2.2624 | 1.1169 | 1.781 | 1.9142 | 18.8670 |
| 0.0476 | 2.0 | 4040 | 0.0309 | 2.635 | 1.4254 | 2.1038 | 2.2632 | 18.9406 |
| 0.0366 | 3.0 | 6060 | 0.0238 | 2.8703 | 1.642 | 2.284 | 2.4596 | 18.8908 |
| 0.0327 | 4.0 | 8080 | 0.0207 | 2.9212 | 1.7136 | 2.3494 | 2.5265 | 18.9626 |
| 0.0308 | 5.0 | 10100 | 0.0198 | 2.9385 | 1.7278 | 2.3658 | 2.5451 | 18.9634 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1