metadata
license: apache-2.0
base_model: t5-base
tags:
- generated_from_trainer
metrics:
- rouge
- f1
model-index:
- name: t5-base-finetuned-FairytaleQA-QuestionGeneration
results: []
t5-base-finetuned-FairytaleQA-QuestionGeneration
This model is a fine-tuned version of t5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1497
- Rouge1: 41.8335
- Rouge2: 22.9223
- Rougel: 39.7489
- Rougelsum: 39.7165
- F1: 1.0732
- Exact Match: 1.0732
- Gen Len: 15.721
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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | F1 | Exact Match | Gen Len |
|---|---|---|---|---|---|---|---|---|---|---|
| 0.1477 | 1.0 | 2137 | 0.1519 | 41.844 | 22.9178 | 39.6972 | 39.6635 | 1.1707 | 1.1707 | 15.7502 |
| 0.156 | 2.0 | 4274 | 0.1499 | 41.7453 | 22.8275 | 39.6485 | 39.6119 | 1.0732 | 1.0732 | 15.76 |
| 0.1539 | 3.0 | 6411 | 0.1497 | 41.8402 | 22.9432 | 39.7493 | 39.7177 | 1.0732 | 1.0732 | 15.7463 |
| 0.1529 | 4.0 | 8548 | 0.1497 | 41.8242 | 22.9165 | 39.7328 | 39.7163 | 1.0732 | 1.0732 | 15.7249 |
| 0.1574 | 5.0 | 10685 | 0.1497 | 41.8335 | 22.9223 | 39.7489 | 39.7165 | 1.0732 | 1.0732 | 15.721 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1