| | --- |
| | license: apache-2.0 |
| | base_model: ThomasSimonini/t5-end2end-question-generation |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: t52 |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # t52 |
| |
|
| | This model is a fine-tuned version of [ThomasSimonini/t5-end2end-question-generation](https://huggingface.co/ThomasSimonini/t5-end2end-question-generation) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.6967 |
| |
|
| | ## 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: 7 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.1749 | 0.65 | 100 | 2.9029 | |
| | | 2.9717 | 1.3 | 200 | 2.8314 | |
| | | 2.8949 | 1.95 | 300 | 2.7876 | |
| | | 2.7999 | 2.59 | 400 | 2.7635 | |
| | | 2.7549 | 3.24 | 500 | 2.7407 | |
| | | 2.6961 | 3.89 | 600 | 2.7225 | |
| | | 2.6497 | 4.54 | 700 | 2.7164 | |
| | | 2.6302 | 5.19 | 800 | 2.7081 | |
| | | 2.6166 | 5.84 | 900 | 2.6984 | |
| | | 2.5617 | 6.49 | 1000 | 2.6967 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.31.0 |
| | - Pytorch 2.0.1+cu118 |
| | - Datasets 2.14.3 |
| | - Tokenizers 0.13.3 |
| | |
