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flan-t5-qg-LearningQ-adaFactor
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: 1.5395
- Rouge1: 24.0287
- Rouge2: 6.7319
- Rougel: 21.6562
- Rougelsum: 21.647
- Gen Len: 15.9884
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: 0.001
- 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 |
|---|---|---|---|---|---|---|---|---|
| 1.5388 | 1.0 | 23583 | 1.5771 | 23.5397 | 6.5493 | 21.2296 | 21.2262 | 15.8911 |
| 1.404 | 2.0 | 47166 | 1.5395 | 24.0287 | 6.7319 | 21.6562 | 21.647 | 15.9884 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
