metadata
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- rouge
model-index:
- name: flan-t5-small-finetuned-question-generation
results: []
flan-t5-small-finetuned-question-generation
This model is a fine-tuned version of google/flan-t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5888
- Rouge1: 49.9368
- Rouge2: 27.2185
- Rougel: 46.1729
- Rougelsum: 46.1900
- Gen Len: 13.7801
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: 5.6e-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: 8
Training results
Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
---|---|---|---|---|---|---|---|---|
1.8453 | 1.0 | 10917 | 1.6093 | 47.9986 | 25.3028 | 44.3072 | 44.3345 | 13.6285 |
1.6998 | 2.0 | 21834 | 1.5955 | 49.1185 | 26.2998 | 45.4201 | 45.4194 | 13.4627 |
1.6257 | 3.0 | 32751 | 1.5933 | 49.4151 | 26.7655 | 45.6769 | 45.6809 | 13.7603 |
1.5722 | 4.0 | 43668 | 1.5822 | 49.4727 | 26.8015 | 45.8010 | 45.8247 | 13.6301 |
1.5337 | 5.0 | 54585 | 1.5881 | 49.5572 | 26.8461 | 45.8811 | 45.8919 | 13.7029 |
1.5045 | 6.0 | 65502 | 1.5852 | 49.7863 | 27.0921 | 46.0625 | 46.0677 | 13.8099 |
1.4822 | 7.0 | 76419 | 1.5867 | 49.7769 | 27.0550 | 46.0091 | 46.0228 | 13.8027 |
1.4674 | 8.0 | 87336 | 1.5888 | 49.9368 | 27.2185 | 46.1729 | 46.1900 | 13.7801 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1
- Datasets 2.20.0
- Tokenizers 0.19.1