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---
license: apache-2.0
base_model: google/flan-t5-base
tags:
- generated_from_trainer
model-index:
- name: peft-finetune-flan-t5-mc-question-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. -->
# peft-finetune-flan-t5-mc-question-generation
This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1553
## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2947 | 0.13 | 100 | 1.7430 |
| 1.8174 | 0.25 | 200 | 1.3561 |
| 1.5218 | 0.38 | 300 | 1.2409 |
| 1.4277 | 0.51 | 400 | 1.2068 |
| 1.3855 | 0.64 | 500 | 1.1918 |
| 1.3648 | 0.76 | 600 | 1.1808 |
| 1.3438 | 0.89 | 700 | 1.1744 |
| 1.3408 | 1.02 | 800 | 1.1685 |
| 1.3357 | 1.15 | 900 | 1.1658 |
| 1.3258 | 1.27 | 1000 | 1.1620 |
| 1.3187 | 1.4 | 1100 | 1.1597 |
| 1.3195 | 1.53 | 1200 | 1.1577 |
| 1.3168 | 1.65 | 1300 | 1.1572 |
| 1.3167 | 1.78 | 1400 | 1.1559 |
| 1.311 | 1.91 | 1500 | 1.1553 |
### Framework versions
- Transformers 4.32.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3
|