<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
flan-t5-qg-test-LQ-v1
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: 2.3976
- Rouge1: 23.3283
- Rouge2: 6.3111
- Rougel: 21.0183
- Rougelsum: 21.0191
- Gen Len: 16.2723
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 2.4384 | 1.0 | 23583 | 2.4275 | 23.1862 | 6.2062 | 20.8927 | 20.887 | 16.0677 |
| 2.3878 | 2.0 | 47166 | 2.3976 | 23.3283 | 6.3111 | 21.0183 | 21.0191 | 16.2723 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
