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t5-base-QG-finetuned-FairytaleQA
This model is a fine-tuned version of t5-base on the fairytale_qa dataset. It achieves the following results on the evaluation set:
- Loss: 1.0876
- Rouge1: 45.1292
- Rouge2: 26.5987
- Rougel: 43.2701
- Rougelsum: 43.2744
- Gen Len: 15.1024
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.1882 | 1.0 | 2137 | 1.0876 | 45.1292 | 26.5987 | 43.2701 | 43.2744 | 15.1024 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
