|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: t5-end2end-questions-generation |
|
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. --> |
|
|
|
# t5-end2end-questions-generation |
|
|
|
This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.6363 |
|
|
|
## 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: 8 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 16 |
|
- total_train_batch_size: 128 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 10 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | |
|
|:-------------:|:-----:|:----:|:---------------:| |
|
| 2.6063 | 0.67 | 100 | 1.9609 | |
|
| 1.9832 | 1.35 | 200 | 1.7818 | |
|
| 1.8375 | 2.02 | 300 | 1.7241 | |
|
| 1.7553 | 2.69 | 400 | 1.6982 | |
|
| 1.7077 | 3.36 | 500 | 1.6691 | |
|
| 1.68 | 4.04 | 600 | 1.6638 | |
|
| 1.64 | 4.71 | 700 | 1.6521 | |
|
| 1.6149 | 5.38 | 800 | 1.6467 | |
|
| 1.6064 | 6.05 | 900 | 1.6502 | |
|
| 1.5768 | 6.73 | 1000 | 1.6394 | |
|
| 1.5685 | 7.4 | 1100 | 1.6389 | |
|
| 1.5568 | 8.07 | 1200 | 1.6342 | |
|
| 1.5422 | 8.74 | 1300 | 1.6326 | |
|
| 1.5422 | 9.42 | 1400 | 1.6363 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.28.1 |
|
- Pytorch 2.0.0+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
