flan-t5-small-botco_QA-finetuned-question-generation-context-only
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: 2.0952
- Rouge1: 83.429
- Rouge2: 80.1583
- Rougel: 80.2037
- Rougelsum: 83.2421
- Bleu-4: 62.4017
- Meteor: 87.7448
- Gen Len: 45.3499
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- label_smoothing_factor: 0.1
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu-4 | Meteor | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 2.6539 | 2.33 | 50 | 2.2360 | 82.6627 | 79.5849 | 79.46 | 82.5244 | 57.5926 | 86.8675 | 49.0233 |
| 2.212 | 4.66 | 100 | 2.0952 | 83.429 | 80.1583 | 80.2037 | 83.2421 | 62.4017 | 87.7448 | 45.3499 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2