metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-s
results: []
flan-t5-s
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: 0.2736
- Rouge1: 40.152
- Rouge2: 15.8816
- Rougel: 33.4399
- Rougelsum: 35.9029
- Gen Len: 19.886
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.347 | 1.0 | 2307 | 0.2918 | 38.3203 | 14.7065 | 31.7739 | 34.536 | 19.904 |
| 0.2765 | 2.0 | 4615 | 0.2817 | 38.9417 | 15.3147 | 32.5082 | 35.1789 | 19.884 |
| 0.2683 | 3.0 | 6922 | 0.2776 | 39.3458 | 15.3133 | 32.7661 | 35.2993 | 19.878 |
| 0.2635 | 4.0 | 9230 | 0.2751 | 39.7671 | 15.7051 | 33.1173 | 35.6438 | 19.884 |
| 0.2611 | 5.0 | 11537 | 0.2738 | 39.8607 | 15.5855 | 33.1643 | 35.6319 | 19.882 |
| 0.2592 | 6.0 | 13842 | 0.2736 | 40.152 | 15.8816 | 33.4399 | 35.9029 | 19.886 |
Framework versions
- Transformers 4.36.1
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.15.2