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t5-end2end-questions-generation
This model is a fine-tuned version of t5-base on the squad_modified_for_t5_qg dataset. It achieves the following results on the evaluation set:
- Loss: 1.5922
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: 0.0001
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss |
---|---|---|---|
2.5896 | 0.34 | 100 | 1.9178 |
1.9796 | 0.68 | 200 | 1.7354 |
1.8532 | 1.02 | 300 | 1.6729 |
1.7549 | 1.35 | 400 | 1.6448 |
1.7281 | 1.69 | 500 | 1.6299 |
1.7062 | 2.03 | 600 | 1.6161 |
1.6569 | 2.37 | 700 | 1.6079 |
1.6522 | 2.71 | 800 | 1.5971 |
1.6415 | 3.05 | 900 | 1.5955 |
1.6143 | 3.39 | 1000 | 1.5936 |
1.6152 | 3.73 | 1100 | 1.5922 |
Framework versions
- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3